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Mastering AI model training

Author : Cybellium Ltd
Publisher : Cybellium Ltd
ISBN 13 :
Total Pages : 272 pages
Book Rating : 4.8/5 (549 download)

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Book Synopsis Mastering AI model training by : Cybellium Ltd

Download or read book Mastering AI model training written by Cybellium Ltd and published by Cybellium Ltd. This book was released on 2023-09-05 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: Are you ready to take your AI training skills to the next level? In "Mastering AI Model Training" by Kris Hermans, you'll embark on a transformative journey that will empower you to train highly accurate and efficient artificial intelligence models. Uncover Advanced Techniques and Best Practices As AI continues to revolutionize industries, the ability to train powerful and optimized models is paramount. In this comprehensive guide, Kris Hermans reveals the secrets to mastering AI model training. Explore advanced techniques, cutting-edge algorithms, and industry best practices that will propel your AI training expertise to new heights. Become an Expert in Training AI Models Whether you're a seasoned data scientist or a passionate AI enthusiast, this book provides a structured approach to mastering AI model training. Kris Hermans demystifies complex concepts and presents them in a clear and practical manner. Through real-world examples and hands-on exercises, you'll develop the skills and intuition necessary to train AI models that achieve exceptional performance. From Fundamentals to Advanced Topics "Mastering AI Model Training" covers the full spectrum of AI training, starting from the basics of data preprocessing and feature engineering and progressing to advanced topics such as transfer learning, hyperparameter optimization, and model compression. Gain a deep understanding of different training algorithms and architectures, and learn how to adapt them to various domains and use cases. Optimize Training for Performance and Efficiency Discover strategies for improving model performance, reducing training time, and optimizing resource utilization. Explore techniques for handling large datasets, distributed training, and leveraging hardware accelerators such as GPUs and TPUs. With Kris Hermans as your guide, you'll learn how to train models that deliver superior results while maximizing computational efficiency. Practical Applications and Real-World Case Studies Immerse yourself in practical applications of AI model training across industries such as healthcare, finance, manufacturing, and more. Dive into captivating case studies that demonstrate how AI training is transforming businesses and driving innovation. Gain insights into the challenges faced by organizations and learn how they leverage AI training techniques to gain a competitive edge. Ethical Considerations and Responsible AI With great power comes great responsibility. "Mastering AI Model Training" addresses the ethical considerations associated with AI training and highlights the importance of responsible AI practices. Learn how to mitigate biases, ensure fairness, and navigate ethical challenges to build AI models that are not only accurate and efficient but also ethical and trustworthy.

Mastering Computer Vision with TensorFlow 2.x

Author : Krishnendu Kar
Publisher : Packt Publishing Ltd
ISBN 13 : 1838826939
Total Pages : 419 pages
Book Rating : 4.8/5 (388 download)

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Book Synopsis Mastering Computer Vision with TensorFlow 2.x by : Krishnendu Kar

Download or read book Mastering Computer Vision with TensorFlow 2.x written by Krishnendu Kar and published by Packt Publishing Ltd. This book was released on 2020-05-15 with total page 419 pages. Available in PDF, EPUB and Kindle. Book excerpt: Apply neural network architectures to build state-of-the-art computer vision applications using the Python programming language Key FeaturesGain a fundamental understanding of advanced computer vision and neural network models in use todayCover tasks such as low-level vision, image classification, and object detectionDevelop deep learning models on cloud platforms and optimize them using TensorFlow Lite and the OpenVINO toolkitBook Description Computer vision allows machines to gain human-level understanding to visualize, process, and analyze images and videos. This book focuses on using TensorFlow to help you learn advanced computer vision tasks such as image acquisition, processing, and analysis. You'll start with the key principles of computer vision and deep learning to build a solid foundation, before covering neural network architectures and understanding how they work rather than using them as a black box. Next, you'll explore architectures such as VGG, ResNet, Inception, R-CNN, SSD, YOLO, and MobileNet. As you advance, you'll learn to use visual search methods using transfer learning. You'll also cover advanced computer vision concepts such as semantic segmentation, image inpainting with GAN's, object tracking, video segmentation, and action recognition. Later, the book focuses on how machine learning and deep learning concepts can be used to perform tasks such as edge detection and face recognition. You'll then discover how to develop powerful neural network models on your PC and on various cloud platforms. Finally, you'll learn to perform model optimization methods to deploy models on edge devices for real-time inference. By the end of this book, you'll have a solid understanding of computer vision and be able to confidently develop models to automate tasks. What you will learnExplore methods of feature extraction and image retrieval and visualize different layers of the neural network modelUse TensorFlow for various visual search methods for real-world scenariosBuild neural networks or adjust parameters to optimize the performance of modelsUnderstand TensorFlow DeepLab to perform semantic segmentation on images and DCGAN for image inpaintingEvaluate your model and optimize and integrate it into your application to operate at scaleGet up to speed with techniques for performing manual and automated image annotationWho this book is for This book is for computer vision professionals, image processing professionals, machine learning engineers and AI developers who have some knowledge of machine learning and deep learning and want to build expert-level computer vision applications. In addition to familiarity with TensorFlow, Python knowledge will be required to get started with this book.

Mastering Deep Learning

Author : Cybellium Ltd
Publisher : Cybellium Ltd
ISBN 13 :
Total Pages : 240 pages
Book Rating : 4.8/5 (75 download)

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Book Synopsis Mastering Deep Learning by : Cybellium Ltd

Download or read book Mastering Deep Learning written by Cybellium Ltd and published by Cybellium Ltd. This book was released on with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unleash the Power of Neural Networks for Intelligent Solutions In the landscape of artificial intelligence and machine learning, deep learning stands as a revolutionary force that is shaping the future of technology. "Mastering Deep Learning" is your ultimate guide to comprehending and harnessing the potential of deep neural networks, empowering you to create intelligent solutions that drive innovation. About the Book: As the capabilities of technology expand, deep learning emerges as a transformative approach that unlocks the potential of artificial intelligence. "Mastering Deep Learning" offers a comprehensive exploration of this cutting-edge field—an indispensable toolkit for data scientists, engineers, and enthusiasts. This book caters to both beginners and experienced learners aiming to excel in deep learning concepts, algorithms, and applications. Key Features: Deep Learning Fundamentals: Begin by understanding the core principles of deep learning. Learn about neural networks, activation functions, and backpropagation—the building blocks of the subject. Deep Neural Architectures: Dive into the world of deep neural architectures. Explore techniques for building and designing different types of neural networks, including feedforward, convolutional, and recurrent networks. Training and Optimization: Grasp the art of training deep neural networks. Understand techniques for weight initialization, gradient descent, and optimization algorithms to ensure efficient learning. Natural Language Processing: Explore deep learning applications in natural language processing. Learn how to process and understand text, sentiment analysis, and language generation. Computer Vision: Understand the significance of deep learning in computer vision. Explore techniques for image classification, object detection, and image generation. Reinforcement Learning: Delve into the realm of reinforcement learning. Explore techniques for training agents to interact with environments and make intelligent decisions. Transfer Learning and Pretrained Models: Grasp the power of transfer learning. Learn how to leverage pretrained models and adapt them to new tasks. Real-World Applications: Gain insights into how deep learning is applied across industries. From healthcare to finance, discover the diverse applications of deep neural networks. Why This Book Matters: In an era of rapid technological advancement, mastering deep learning offers a competitive edge. "Mastering Deep Learning" empowers data scientists, engineers, and technology enthusiasts to leverage these cutting-edge concepts, enabling them to create intelligent solutions that drive innovation and redefine possibilities. Unleash the Future of AI: In the landscape of artificial intelligence, deep learning is reshaping technology and innovation. "Mastering Deep Learning" equips you with the knowledge needed to leverage deep neural networks, enabling you to create intelligent solutions that push the boundaries of possibilities. Whether you're a seasoned practitioner or new to the world of deep learning, this book will guide you in building a solid foundation for effective AI-driven solutions. Your journey to mastering deep learning starts here. © 2023 Cybellium Ltd. All rights reserved. www.cybellium.com

Mastering-Deep-Learning-with-Keras

Author : Prasanjeet Sikder
Publisher : Prasanjeet Sikder
ISBN 13 :
Total Pages : 174 pages
Book Rating : 4./5 ( download)

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Book Synopsis Mastering-Deep-Learning-with-Keras by : Prasanjeet Sikder

Download or read book Mastering-Deep-Learning-with-Keras written by Prasanjeet Sikder and published by Prasanjeet Sikder. This book was released on with total page 174 pages. Available in PDF, EPUB and Kindle. Book excerpt: **Title: Mastering Deep Learning with Keras: From Fundamentals to Advanced Techniques** **Chapter 1: Introduction to Deep Learning and Keras** - Understanding the basics of deep learning - Introducing the Keras framework - Setting up your development environment **Chapter 2: Building Blocks of Neural Networks** - Exploring layers and activations - Creating various types of layers using Keras - Initializing weights and biases **Chapter 3: Building Your First Neural Network with Keras** - Creating a simple feedforward neural network - Compiling the model with loss functions and optimizers - Training the model and monitoring progress **Chapter 4: Convolutional Neural Networks (CNNs)** - Understanding CNN architecture - Implementing image recognition using Keras - Transfer learning with pre-trained CNN models **Chapter 5: Recurrent Neural Networks (RNNs)** - Introduction to sequential data processing - Building and training RNNs using Keras - Applications of RNNs in natural language processing and time series analysis **Chapter 6: Advanced Keras Functionalities** - Callbacks for model customization and monitoring - Handling overfitting with regularization techniques - Custom layers and loss functions **Chapter 7: Deep Learning for Natural Language Processing** - Text preprocessing and tokenization - Building text classification and sentiment analysis models - Sequence-to-sequence models for machine translation **Chapter 8: Deep Learning for Computer Vision** - Object detection and localization using Keras - Generating images with Generative Adversarial Networks (GANs) - Image segmentation with U-Net architecture **Chapter 9: Deployment and Productionization** - Exporting Keras models for production - Integration with web frameworks and APIs - Converting models to optimized formats (TensorFlow Lite, ONNX) **Chapter 10: Cutting-Edge Deep Learning Techniques** - Introduction to attention mechanisms - Exploring Transformers and BERT models - Reinforcement learning with Keras **Chapter 11: Case Studies and Real-World Projects** - Deep learning applications in various industries - Walkthroughs of projects using Keras for specific tasks - Best practices and lessons learned from real projects **Chapter 12: The Future of Keras and Deep Learning** - Emerging trends in deep learning - Keras updates and upcoming features - Ethical considerations and responsible AI in deep learning **Appendix: Keras Cheat Sheet** - Quick reference guide to Keras syntax, functions, and methods **Appendix: Keras Interview Questions with Answers**

Mastering AI and Cloud Robotics

Author : Shakil Akhtar
Publisher : BPB Publications
ISBN 13 : 936589705X
Total Pages : 446 pages
Book Rating : 4.3/5 (658 download)

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Book Synopsis Mastering AI and Cloud Robotics by : Shakil Akhtar

Download or read book Mastering AI and Cloud Robotics written by Shakil Akhtar and published by BPB Publications. This book was released on 2024-10-29 with total page 446 pages. Available in PDF, EPUB and Kindle. Book excerpt: DESCRIPTION This book teaches theory and coding examples to help readers design AI-powered cloud robotics applications. AI and robotics engineers will learn to build scalable systems, apply various methods for monitoring and prediction, and optimize systems to reduce costs and increase performance using the architectural techniques described. This book offers a detailed look into cloud robotics, starting with cloud computing basics and moving into its applications in robotics. It highlights the role of AI, ML, and computer vision in advancing robotic capabilities. This book also covers cloud robotics infrastructure, focusing on communication protocols and the ROS2 framework. Further, you will learn about building cloud-enabled robots and using AWS for AI and robotics. It addresses data privacy and security, concluding with real-world applications across various industries and insights into the future of cloud robotics. This book equips you with the foundational knowledge and practical skills to leverage the power of cloud computing to enhance the capabilities of robotic systems. You will gain the ability to design, develop, deploy, and manage cloud-enabled robots, pushing the boundaries of automation and innovation across various industries. KEY FEATURES ● Learn the basics of cloud computing and advanced AI techniques for cloud robotics applications. ● Gain hands-on experience through practical exercises and examples to strengthen your understanding of applications in cloud robotics. ● Outline the steps to develop a cloud robotic application using ROS and AWS. WHAT YOU WILL LEARN ● Understand cloud computing concepts, including service models, deployment models, and security. ● Explore cloud robotics history, benefits, and AI integration in robotic systems. ● Learn AI algorithms, ML, and deep learning for robotics applications. ● Gain skills in computer vision, object detection, and enhancing robot perception using AI. ● Master Robot Operating System 2 (ROS2) architecture and build cloud-enabled robots with hands-on experience. WHO THIS BOOK IS FOR The primary audience of this book is robotics engineers, AI engineers, and software developers with a basic understanding of robotics and cloud computing or no prior experience of the subject. This book contains practical code samples in Python and assumes that the reader has a fundamental understanding of Python programming. TABLE OF CONTENTS 1. Fundamentals of Cloud Computing 2. Introduction to Cloud Robotics 3. Artificial Intelligence in Cloud Robotics 4. Artificial Intelligence and Robot Perception 5. Cloud Robotics Connectivity 6. Communications and Processing in Cloud Robotics 7. Robot Operating System 2 8. Building a Cloud-enabled Robot 9. AI and Robotics Using AWS 10. Security in Cloud Robotics 11. Real-world Cloud Robotics Applications 12. Conclusion and Future Directions

Mastering Your Prompt Engineering Super Power

Author : Diana Ashcroft
Publisher : Athena Publishing
ISBN 13 :
Total Pages : 253 pages
Book Rating : 4./5 ( download)

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Book Synopsis Mastering Your Prompt Engineering Super Power by : Diana Ashcroft

Download or read book Mastering Your Prompt Engineering Super Power written by Diana Ashcroft and published by Athena Publishing. This book was released on 2023-09-26 with total page 253 pages. Available in PDF, EPUB and Kindle. Book excerpt: In a world driven by data and powered by artificial intelligence, there's a superpower that's changing the game: Prompt Engineering. Join Diana Ashcroft, a seasoned data scientist and educator, on a journey through the dynamic landscape of prompt engineering in her latest book, Mastering Your Prompt Engineering Super Power. Prompt engineering is the key to unlocking the full potential of AI. In Mastering Your Prompt Engineering Super Power, Diana Ashcroft delves into the heart of this transformative field and reveals its immense significance. You'll discover how prompt engineering is reshaping industries, powering innovation, and shaping the future of society. Whether you're a seasoned AI professional or just starting your journey, Mastering Your Prompt Engineering Super Power is your guide to mastering prompt engineering. Diana takes complex concepts and distills them into practical, down-to-earth knowledge that anyone can grasp. You'll explore the realms of Natural Language Processing (NLP), Computer Vision, and more, gaining the skills needed to harness prompt engineering's incredible potential. Prompt engineering isn't just a buzzword; it's a force that's driving change in every sector. Diana provides real-world examples of how prompt engineering is making waves in industries like healthcare, finance, e-commerce, and beyond. You'll see how AI-powered prompts are enhancing productivity, improving customer experiences, and even revolutionizing education. Mastering Your Prompt Engineering Super Power isn't just a book; it's your passport to becoming a prompt engineering master. Diana guides you through hands-on techniques, tools, and frameworks used by professionals in the field. You'll learn to wield the power of AI-driven prompts to tackle complex tasks, from data preprocessing to model optimization. As we stand on the precipice of a new era, Diana Ashcroft illuminates the path forward. Discover how prompt engineering is shaping the future, from enabling smarter virtual assistants to aiding legal professionals in document analysis. The possibilities are endless, and Mastering Your Prompt Engineering Super Power equips you to seize them.

Mastering OpenCV 4 with Python

Author : Alberto Fernández Villán
Publisher : Packt Publishing Ltd
ISBN 13 : 1789349753
Total Pages : 517 pages
Book Rating : 4.7/5 (893 download)

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Book Synopsis Mastering OpenCV 4 with Python by : Alberto Fernández Villán

Download or read book Mastering OpenCV 4 with Python written by Alberto Fernández Villán and published by Packt Publishing Ltd. This book was released on 2019-03-29 with total page 517 pages. Available in PDF, EPUB and Kindle. Book excerpt: Create advanced applications with Python and OpenCV, exploring the potential of facial recognition, machine learning, deep learning, web computing and augmented reality. Key FeaturesDevelop your computer vision skills by mastering algorithms in Open Source Computer Vision 4 (OpenCV 4) and PythonApply machine learning and deep learning techniques with TensorFlow and KerasDiscover the modern design patterns you should avoid when developing efficient computer vision applicationsBook Description OpenCV is considered to be one of the best open source computer vision and machine learning software libraries. It helps developers build complete projects in relation to image processing, motion detection, or image segmentation, among many others. OpenCV for Python enables you to run computer vision algorithms smoothly in real time, combining the best of the OpenCV C++ API and the Python language. In this book, you'll get started by setting up OpenCV and delving into the key concepts of computer vision. You'll then proceed to study more advanced concepts and discover the full potential of OpenCV. The book will also introduce you to the creation of advanced applications using Python and OpenCV, enabling you to develop applications that include facial recognition, target tracking, or augmented reality. Next, you'll learn machine learning techniques and concepts, understand how to apply them in real-world examples, and also explore their benefits, including real-time data production and faster data processing. You'll also discover how to translate the functionality provided by OpenCV into optimized application code projects using Python bindings. Toward the concluding chapters, you'll explore the application of artificial intelligence and deep learning techniques using the popular Python libraries TensorFlow, and Keras. By the end of this book, you'll be able to develop advanced computer vision applications to meet your customers' demands. What you will learnHandle files and images, and explore various image processing techniquesExplore image transformations, including translation, resizing, and croppingGain insights into building histogramsBrush up on contour detection, filtering, and drawingWork with Augmented Reality to build marker-based and markerless applicationsWork with the main machine learning algorithms in OpenCVExplore the deep learning Python libraries and OpenCV deep learning capabilitiesCreate computer vision and deep learning web applicationsWho this book is for This book is designed for computer vision developers, engineers, and researchers who want to develop modern computer vision applications. Basic experience of OpenCV and Python programming is a must.

Mastering Drone Technology with AI

Author : Dr. Subhash K. Shinde
Publisher : BPB Publications
ISBN 13 : 9365894956
Total Pages : 480 pages
Book Rating : 4.3/5 (658 download)

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Book Synopsis Mastering Drone Technology with AI by : Dr. Subhash K. Shinde

Download or read book Mastering Drone Technology with AI written by Dr. Subhash K. Shinde and published by BPB Publications. This book was released on 2024-09-30 with total page 480 pages. Available in PDF, EPUB and Kindle. Book excerpt: DESCRIPTION "Mastering Drone Technology with AI" is a detailed guide to the transformational power of AI in drone technology. It investigates how AI is transforming numerous elements of drone operations, from navigation and flight automation to data analysis and decision-making processes. The book gives readers a thorough knowledge of cutting-edge advancements including Machine Learning, computer vision, and autonomous flight systems, making it an indispensable resource for anybody interested in the convergence of AI and unmanned aerial vehicles (UAVs). This book is a valuable resource for professionals in agriculture, logistics, surveillance, and environmental monitoring looking to integrate AI-powered drones into their work. It offers step-by-step guides and practical projects to help readers gain the skills needed to excel. By exploring the latest advancements and strategies, professionals can stay competitive in this rapidly evolving field. The book also covers safety and regulatory issues, ensuring that AI-equipped drones are used ethically and legally. By promoting a thorough awareness of both the theoretical and practical elements of AI in drone technology, the book enables professionals to innovate and lead in their respective sectors. KEY FEATURES ● Examine how AI transforms drones through advanced algorithms for navigation, automation, and data analysis. ● The book provides real-world examples of AI-enhanced drones in agriculture, logistics, and surveillance, along with insights into safety standards and regulations. ● It offers interactive learning through quizzes, case studies, and projects, plus resources for developers to create AI-powered drone solutions. WHAT YOU WILL LEARN ● Understand the basic components, types, and flying mechanisms of drones. ● Learn how AI enhances drone capabilities like object detection, navigation, and decision-making. ● Explore real-world uses of AI in drones for agriculture, surveillance, delivery, and environmental monitoring. ● Gain awareness of legal and ethical issues, including airspace regulations and privacy concerns. ● Get insights into future trends in drone technology and AI to stay ahead in this fast-growing industry. WHO THIS BOOK IS FOR The target audience for this book includes undergraduate students from diverse academic backgrounds, including engineering, life sciences, mathematics, and technology. Additionally, it is beneficial for drone enthusiasts, tech experts, students, educators, industry professionals, academics, entrepreneurs, and policymakers interested in integrating AI with drones for a variety of applications. TABLE OF CONTENTS 1. Introduction to Drones 2. Drone/UAV Design and Development 3. Quadrotors and Drone Programming 4. Drone Operations Optimizations 5. AI Integration in Drone Technology 6. Drone Security 7. Drones for Environmental Science 8. Drones for Smart Cities 9. Case Studies of Drone Applications 10. Future Trends in Drone Technology

Mastering Neural Networks

Author : Cybellium Ltd
Publisher : Cybellium Ltd
ISBN 13 :
Total Pages : 221 pages
Book Rating : 4.8/5 (76 download)

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Book Synopsis Mastering Neural Networks by : Cybellium Ltd

Download or read book Mastering Neural Networks written by Cybellium Ltd and published by Cybellium Ltd. This book was released on with total page 221 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unleash the Power of Deep Learning for Intelligent Systems In the realm of artificial intelligence and machine learning, neural networks stand as the driving force behind intelligent systems that mimic human cognition. "Mastering Neural Networks" is your ultimate guide to comprehending and harnessing the potential of these powerful algorithms, empowering you to create intelligent solutions that push the boundaries of innovation. About the Book: As technology advances, the capabilities of neural networks become more integral to various fields. "Mastering Neural Networks" offers an in-depth exploration of this cutting-edge subject—an essential toolkit for data scientists, engineers, and enthusiasts. This book caters to both newcomers and experienced learners aiming to excel in neural network concepts, architectures, and applications. Key Features: Neural Network Fundamentals: Begin by understanding the core principles of neural networks. Learn about artificial neurons, activation functions, and the architecture of these powerful algorithms. Feedforward Neural Networks: Dive into feedforward neural networks. Explore techniques for designing, training, and optimizing networks for various tasks. Convolutional Neural Networks: Grasp the art of convolutional neural networks. Understand how these architectures excel in image and pattern recognition tasks. Recurrent Neural Networks: Explore recurrent neural networks. Learn how to process sequences and time-series data, making them suitable for tasks like language modeling and speech recognition. Generative Adversarial Networks: Understand the significance of generative adversarial networks. Explore how these networks enable the generation of realistic images, text, and data. Transfer Learning and Fine-Tuning: Delve into transfer learning. Learn how to leverage pretrained models and adapt them to new tasks, saving time and resources. Neural Network Optimization: Grasp optimization techniques. Explore methods for improving network performance, reducing overfitting, and tuning hyperparameters. Real-World Applications: Gain insights into how neural networks are applied across industries. From healthcare to finance, discover the diverse applications of these algorithms. Why This Book Matters: In a world driven by intelligent systems, mastering neural networks offers a competitive advantage. "Mastering Neural Networks" empowers data scientists, engineers, and technology enthusiasts to leverage these cutting-edge algorithms, enabling them to create intelligent solutions that redefine the boundaries of innovation. Unleash the Future of Intelligence: In the landscape of artificial intelligence, neural networks are reshaping technology and innovation. "Mastering Neural Networks" equips you with the knowledge needed to leverage these powerful algorithms, enabling you to create intelligent solutions that push the boundaries of innovation and redefine what's possible. Whether you're a seasoned practitioner or new to the world of neural networks, this book will guide you in building a solid foundation for effective AI-driven solutions. Your journey to mastering neural networks starts here. © 2023 Cybellium Ltd. All rights reserved. www.cybellium.com

Mastering Drone design and programming

Author : Cybellium Ltd
Publisher : Cybellium Ltd
ISBN 13 :
Total Pages : 216 pages
Book Rating : 4.8/5 (641 download)

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Book Synopsis Mastering Drone design and programming by : Cybellium Ltd

Download or read book Mastering Drone design and programming written by Cybellium Ltd and published by Cybellium Ltd. This book was released on with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unleash Creativity and Innovation in Drone Technology In the realm of aviation and technology, drones have emerged as revolutionary tools with endless possibilities. "Mastering Drone Design and Programming" is your comprehensive guide to understanding and harnessing the potential of these aerial vehicles, empowering you to create customized drones that push the boundaries of innovation and redefine industries. About the Book: As drone technology evolves, the ability to design and program drones becomes increasingly vital. "Mastering Drone Design and Programming" offers an in-depth exploration of this dynamic field—an essential toolkit for engineers, enthusiasts, and innovators. This book caters to both newcomers and experienced learners aiming to excel in drone design, customization, and programming. Key Features: Drone Fundamentals: Begin by understanding the core principles of drone technology. Learn about components, aerodynamics, and flight dynamics that shape drone design. Custom Drone Design: Dive into custom drone design techniques. Explore methods for selecting components, assembling frames, and ensuring stability and aerodynamics. Programming Basics: Grasp the art of drone programming. Understand how to write and upload code for flight control, sensors, and autonomous navigation. Sensors and Telemetry: Explore sensors and telemetry systems for drones. Learn how to integrate GPS, accelerometers, gyroscopes, and cameras for accurate data collection. Autonomous Flight: Understand the significance of autonomous flight. Learn how to program drones to perform tasks such as waypoint navigation, object detection, and more. Remote Control and Communication: Delve into remote control and communication systems. Explore techniques for implementing remote control interfaces and transmitting data. Drone Applications: Grasp real-world applications of drone technology. From aerial photography to agriculture, discover the diverse applications of customized drones. Safety and Regulations: Gain insights into drone safety and regulations. Learn how to navigate legal requirements and ensure safe drone operations. Why This Book Matters: In an era of innovation and exploration, mastering drone design and programming offers a competitive edge. "Mastering Drone Design and Programming" empowers engineers, enthusiasts, and technology innovators to leverage this dynamic technology, enabling them to create customized drones that redefine industries and drive progress. Push the Boundaries of Aerial Innovation: In the landscape of aviation and technology, drones are transforming industries and possibilities. "Mastering Drone Design and Programming" equips you with the knowledge needed to leverage drone technology, enabling you to create customized aerial vehicles that redefine innovation and open doors to new horizons. Whether you're a seasoned drone enthusiast or new to the world of drone design, this book will guide you in building a solid foundation for effective drone customization and programming. Your journey to mastering drone design and programming starts here. © 2023 Cybellium Ltd. All rights reserved. www.cybellium.com

Mastering Robot design and programming

Author : Cybellium Ltd
Publisher : Cybellium Ltd
ISBN 13 :
Total Pages : 223 pages
Book Rating : 4.8/5 (641 download)

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Book Synopsis Mastering Robot design and programming by : Cybellium Ltd

Download or read book Mastering Robot design and programming written by Cybellium Ltd and published by Cybellium Ltd. This book was released on with total page 223 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unleash Creativity and Ingenuity in Robotics In the realm of technology and automation, robots have become pivotal in reshaping industries and possibilities. "Mastering Robot Design and Programming" is your definitive guide to understanding and harnessing the potential of robotics, empowering you to create and program intelligent robots that push the boundaries of innovation and redefine the future. About the Book: As robotics technology evolves, the ability to design and program robots becomes increasingly crucial. "Mastering Robot Design and Programming" offers a comprehensive exploration of this dynamic field—an essential toolkit for engineers, enthusiasts, and innovators. This book caters to both newcomers and experienced learners aiming to excel in robot design, customization, and programming. Key Features: Robotics Fundamentals: Begin by understanding the core principles of robotics. Learn about robot components, kinematics, and dynamics that shape robot design. Custom Robot Design: Dive into custom robot design techniques. Explore methods for selecting mechanical parts, designing frames, and ensuring stability and mobility. Programming Basics: Grasp the art of robot programming. Understand how to write and upload code for motion control, sensors, and autonomous behaviors. Sensors and Perception: Explore sensors and perception systems for robots. Learn how to integrate cameras, LiDAR, proximity sensors, and other devices for accurate environment awareness. Autonomous Navigation: Understand the significance of autonomous navigation. Learn how to program robots to navigate through environments, avoid obstacles, and map surroundings. Human-Robot Interaction: Delve into human-robot interaction. Explore techniques for creating interfaces and behaviors that enable robots to collaborate with humans effectively. Robot Applications: Grasp real-world applications of robotics. From manufacturing to healthcare, discover the diverse applications of intelligent robots. Ethics and Safety: Gain insights into robotics ethics and safety considerations. Learn how to design robots that adhere to ethical standards and ensure safe operations. Why This Book Matters: In an age of innovation and automation, mastering robot design and programming offers a competitive edge. "Mastering Robot Design and Programming" empowers engineers, enthusiasts, and technology innovators to leverage robotics technology, enabling them to create intelligent robots that redefine industries and drive progress. Shape the Future of Automation: In the landscape of technology and automation, robots are at the forefront of reshaping industries and possibilities. "Mastering Robot Design and Programming" equips you with the knowledge needed to leverage robotics, enabling you to create and program intelligent machines that redefine innovation and open doors to new horizons. Whether you're a seasoned robotics enthusiast or new to the world of robot design, this book will guide you in building a solid foundation for effective robot customization and programming. Your journey to mastering robot design and programming starts here. © 2023 Cybellium Ltd. All rights reserved. www.cybellium.com

Mastering Machine Learning: A Comprehensive Guide to Success

Author : Rick Spair
Publisher : Rick Spair
ISBN 13 :
Total Pages : 462 pages
Book Rating : 4.2/5 (231 download)

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Book Synopsis Mastering Machine Learning: A Comprehensive Guide to Success by : Rick Spair

Download or read book Mastering Machine Learning: A Comprehensive Guide to Success written by Rick Spair and published by Rick Spair. This book was released on with total page 462 pages. Available in PDF, EPUB and Kindle. Book excerpt: Welcome to "Mastering Machine Learning: A Comprehensive Guide to Success." In this book, we embark on an exciting journey into the world of machine learning (ML), exploring its concepts, techniques, and practical applications. Whether you are a beginner taking your first steps into the field or an experienced practitioner seeking to deepen your knowledge, this comprehensive guide will equip you with the tools, strategies, and insights needed to succeed in the ever-evolving landscape of ML. Machine learning is a rapidly advancing field that has revolutionized industries and transformed the way we tackle complex problems. From personalized recommendations and speech recognition systems to autonomous vehicles and medical diagnostics, machine learning has become an integral part of our daily lives. Its ability to analyze vast amounts of data, identify patterns, and make predictions has paved the way for groundbreaking advancements across various domains. However, mastering machine learning requires more than just understanding the algorithms and techniques. It requires a holistic approach that encompasses data collection and preparation, exploratory data analysis, model building, evaluation, deployment, and continuous learning. It also demands a deep understanding of the ethical and social implications of machine learning, ensuring responsible and fair use of this powerful technology. In this book, we have carefully crafted 20 comprehensive chapters that cover a wide range of topics, from the fundamentals of machine learning to advanced techniques and future trends. Each chapter provides a deep dive into a specific aspect of machine learning, offering tips, recommendations, and strategies for success. You will learn about various algorithms, data preprocessing techniques, model evaluation methods, interpretability approaches, and much more. Throughout the book, we emphasize a practical approach to machine learning. Real-world examples, case studies, and hands-on exercises are incorporated to help you gain a deeper understanding of the concepts and apply them to your own projects. We believe that active learning and practical experience are crucial for mastering machine learning, and we encourage you to explore, experiment, and build your own models. While this book serves as a comprehensive guide, it is important to note that machine learning is a rapidly evolving field. New algorithms, techniques, and technologies are constantly emerging, and staying up-to-date with the latest advancements is essential. However, the principles and foundations discussed in this book will provide you with a solid framework to adapt and navigate the ever-changing landscape of machine learning. Whether you are an aspiring data scientist, a software engineer, a researcher, or a business professional, this book is designed to be your trusted companion in your journey to mastering machine learning. By the time you reach the end, you will have gained a deep understanding of the fundamental concepts, acquired practical skills for applying machine learning in real-world scenarios, and developed the mindset needed to tackle complex challenges and drive innovation. Get ready to embark on an exciting adventure into the world of machine learning. Let's begin our journey towards mastering machine learning and unlocking its full potential. Happy learning!

Mastering Artificial Intelligence

Author : Khushabu Gupta
Publisher : Subrat Gupta
ISBN 13 :
Total Pages : 47 pages
Book Rating : 4./5 ( download)

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Book Synopsis Mastering Artificial Intelligence by : Khushabu Gupta

Download or read book Mastering Artificial Intelligence written by Khushabu Gupta and published by Subrat Gupta. This book was released on 2024-10-28 with total page 47 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Mastering Artificial Intelligence: Learn AI Through Practical Examples & Code" offers readers a detailed, accessible guide to the exciting and fast-evolving world of AI. Designed for both beginners and those with some background in the field, this book covers essential AI concepts, history, applications, and ethical considerations. It delves into machine learning, supervised and unsupervised techniques, deep learning, natural language processing, computer vision, and reinforcement learning. Through clear explanations, practical code examples, and real-world projects, readers will gain hands-on experience with Python, learn the nuances of neural networks, and understand the impact of AI across industries. This book is an indispensable resource for anyone looking to advance their knowledge and career in artificial intelligence.

Mastering AWS CloudFormation

Author : Karen Tovmasyan
Publisher : Packt Publishing Ltd
ISBN 13 : 1789135311
Total Pages : 301 pages
Book Rating : 4.7/5 (891 download)

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Book Synopsis Mastering AWS CloudFormation by : Karen Tovmasyan

Download or read book Mastering AWS CloudFormation written by Karen Tovmasyan and published by Packt Publishing Ltd. This book was released on 2020-05-08 with total page 301 pages. Available in PDF, EPUB and Kindle. Book excerpt: Build scalable and production-ready infrastructure in Amazon Web Services with CloudFormation Key Features Leverage AWS CloudFormation templates to manage your entire infrastructure Get up and running with writing your infrastructure as code and automating your environment Simplify infrastructure management and increase productivity with AWS CloudFormation Book DescriptionDevOps and the cloud revolution have forced software engineers and operations teams to rethink how to manage infrastructures. With this AWS book, you'll understand how you can use Infrastructure as Code (IaC) to simplify IT operations and manage the modern cloud infrastructure effectively with AWS CloudFormation. This comprehensive guide will help you explore AWS CloudFormation from template structures through to developing complex and reusable infrastructure stacks. You'll then delve into validating templates, deploying stacks, and handling deployment failures. The book will also show you how to leverage AWS CodeBuild and CodePipeline to automate resource delivery and apply continuous integration and continuous delivery (CI/CD) practices to the stack. As you advance, you'll learn how to generate templates on the fly using macros and create resources outside AWS with custom resources. Finally, you'll improve the way you manage the modern cloud in AWS by extending CloudFormation using AWS serverless application model (SAM) and AWS cloud development kit (CDK). By the end of this book, you'll have mastered all the major AWS CloudFormation concepts and be able to simplify infrastructure management.What you will learn Understand modern approaches to IaC Develop universal and reusable CloudFormation templates Discover ways to apply continuous delivery with CloudFormation Implement IaC best practices for the AWS Cloud Provision massive applications across multiple regions and accounts Automate template generation and software provisioning for AWS Extend CloudFormation with custom resources and template macros Who this book is forIf you are a developer who wants to learn how to write templates, a DevOps engineer interested in deployment and orchestration, or a solutions architect looking to understand the benefits of managing infrastructure with ease, this book is for you. Prior understanding of the AWS Cloud is necessary.

Mastering MATLAB

Author : Cybellium Ltd
Publisher : Cybellium Ltd
ISBN 13 :
Total Pages : 289 pages
Book Rating : 4.8/5 (69 download)

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Book Synopsis Mastering MATLAB by : Cybellium Ltd

Download or read book Mastering MATLAB written by Cybellium Ltd and published by Cybellium Ltd. This book was released on 2023-09-26 with total page 289 pages. Available in PDF, EPUB and Kindle. Book excerpt: Are you ready to revolutionize your approach to scientific computing and data analysis? "Mastering MATLAB" is your ultimate guide to harnessing the full potential of the MATLAB programming language. Whether you're a seasoned researcher seeking to enhance your capabilities or a data enthusiast ready to dive into the world of numerical analysis, this comprehensive guide will equip you with the knowledge and tools to develop sophisticated solutions for complex problems. Key Features: 1. Comprehensive Exploration of MATLAB Fundamentals: Immerse yourself in the core concepts of MATLAB programming, from its intuitive syntax to its versatile features. Build a strong foundation that empowers you to tackle intricate computational challenges with ease. 2. Data Analysis and Visualization Excellence: Dive into MATLAB's capabilities for data analysis and visualization. Learn how to manipulate and analyze data, create insightful visualizations, and extract meaningful insights from complex datasets. 3. Numerical Computing and Simulation: Uncover MATLAB's power in numerical computing and simulation. Explore techniques for solving mathematical problems, performing simulations, and optimizing algorithms to deliver accurate and efficient results. 4. Advanced Mathematics and Engineering Applications: Push the boundaries of your MATLAB knowledge by exploring advanced mathematical and engineering applications. From linear algebra to differential equations, learn how to apply MATLAB's tools to solve real-world problems. 5. Image and Signal Processing: Discover MATLAB's capabilities in image and signal processing. Master techniques for image enhancement, filtering, and feature extraction, and explore signal processing tools that enable you to work with audio and other time-based data. 6. Machine Learning and Data Science: Navigate the world of machine learning and data science using MATLAB. Learn how to implement algorithms, build predictive models, and perform classification and regression tasks with ease. 7. Optimization and Algorithm Development: Dive into MATLAB's optimization toolbox and learn how to design and implement efficient algorithms. Explore techniques for solving linear and nonlinear optimization problems to achieve optimal solutions. 8. Graphical User Interfaces (GUIs): Discover how to create interactive and user-friendly graphical user interfaces using MATLAB's App Designer. Build custom GUIs that enable users to interact with your applications intuitively. 9. Deployment and Integration: Navigate the process of deploying MATLAB applications to various platforms. Learn about integration with other programming languages, tools, and libraries, and explore techniques for sharing your work with a wider audience. Who This Book Is For: "Mastering MATLAB" is a must-have resource for professionals, researchers, students, and enthusiasts who are eager to harness the capabilities of the MATLAB programming language. Whether you're a novice or an experienced programmer seeking to explore MATLAB's vast capabilities, this book will guide you through the language's intricacies and empower you to develop advanced solutions.

200 Tips for Mastering Generative AI

Author : Rick Spair
Publisher : Rick Spair
ISBN 13 :
Total Pages : 888 pages
Book Rating : 4./5 ( download)

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Book Synopsis 200 Tips for Mastering Generative AI by : Rick Spair

Download or read book 200 Tips for Mastering Generative AI written by Rick Spair and published by Rick Spair. This book was released on with total page 888 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the rapidly evolving landscape of artificial intelligence, Generative AI stands out as a transformative force with the potential to revolutionize industries and reshape our understanding of creativity and automation. From its inception, Generative AI has captured the imagination of researchers, developers, and entrepreneurs, offering unprecedented capabilities in generating new data, simulating complex systems, and solving intricate problems that were once considered beyond the reach of machines. This book, "200 Tips for Mastering Generative AI," is a comprehensive guide designed to empower you with the knowledge and practical insights needed to harness the full potential of Generative AI. Whether you are a seasoned AI practitioner, a curious researcher, a forward-thinking entrepreneur, or a passionate enthusiast, this book provides valuable tips and strategies to navigate the vast and intricate world of Generative AI. We invite you to explore, experiment, and innovate with the knowledge you gain from this book. Together, we can unlock the full potential of Generative AI and shape a future where intelligent machines and human creativity coexist and collaborate in unprecedented ways. Welcome to "200 Tips for Mastering Generative AI." Your journey into the fascinating world of Generative AI begins here.

Git: Mastering Version Control

Author : Ferdinando Santacroce
Publisher : Packt Publishing Ltd
ISBN 13 : 1787122794
Total Pages : 861 pages
Book Rating : 4.7/5 (871 download)

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Book Synopsis Git: Mastering Version Control by : Ferdinando Santacroce

Download or read book Git: Mastering Version Control written by Ferdinando Santacroce and published by Packt Publishing Ltd. This book was released on 2016-10-25 with total page 861 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn everything you need to take full control of your workflow with Git with this curated Learning Path – dive in and transform the way you work About This Book Master all the basic concepts of Git to protect your code and make it easier to evolve Filled with practical recipes that will teach you how to use the most advanced features of the Git system Harness the full power of the Git version control system to customize Git behavior, manipulate history, integrate external tools, and explore platform shortcuts Who This Book Is For This learning path is for software developers who want to become proficient at using the Git version control system. A basic understanding of any version control system would be beneficial. What You Will Learn Transport your work to a remote repository in a centralized manner Experiment with your code without affecting functional code files Explore some tools used to migrate to Git from other versioning systems without losing your development history Understand the Git data model and how you can navigate the database with simple commands Debug with Git and use various techniques to find faulty commits Customize Git behavior system-wide, on a per-user, per-repository, and per-file basis Master administering and setting up Git repositories, configuring access, finding and recovering from repository errors, and performing repository maintenance Chose a workflow and configure/set up support for the chosen workflow In Detail Git is one of the most popular types of Distributed Version Control System. Since its inception, it has attracted skilled developers due to its robust, powerful, and reliable features. Like most powerful tools, Git can be hard to approach for the newcomers. However, this learning path will help you overcome this fear and become adept at all the basic and advanced tasks in Git. This course starts with an introduction to version control systems before you delve deeply into the essentials of Git. This serves as a primer for the topics to follow such as branching and merging, creating and managing a GitHub personal repository, and fork and pull requests. You'll also learn how to migrate from SVN using Git tools or TortoiseGit and migrate from other VCSs, concluding with a collection of resources, links, and appendices. As you progress on to the next module, you will learn how you can automate the usual Git processes by utilizing the hook system built into Git. It also covers advanced repository management, including different options to rewrite the history of a Git repository before you discover how you can work offline with Git, how to track what is going on behind the scenes, and how to use the stash for different purposes. Moving forward, you will gain deeper insights into Git's architecture, its underlying concepts, behavior, and best practices. It gives a quick implementation example of using Git for a collaborative development of a sample project to establish the foundation knowledge of Git operational tasks and concepts. By exploring advanced Git practices, you will attain a deeper understanding of Git's behavior, allowing you to customize and extend existing recipes and write your own. This Learning Path is a blend of content, all packaged up keeping your journey in mind. It includes content from the following Packt products: Git Essentials, Ferdinando Santacroce Git Version Control Cookbook, Aske Olsson and Rasmus Voss Mastering Git, Jakub Narebski Style and approach Its step-by-step approach with useful information makes this course the ultimate guide to understanding and mastering Git. This course will show the road to mastery example by example, while also explaining the mental model of Git.