Mastering Ai And Generative Ai

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Mastering AI and Generative AI: From Learning Fundamentals to Advanced Applications

Author : Anand Vemula
Publisher : Anand Vemula
ISBN 13 :
Total Pages : 72 pages
Book Rating : 4./5 ( download)

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Book Synopsis Mastering AI and Generative AI: From Learning Fundamentals to Advanced Applications by : Anand Vemula

Download or read book Mastering AI and Generative AI: From Learning Fundamentals to Advanced Applications written by Anand Vemula and published by Anand Vemula. This book was released on with total page 72 pages. Available in PDF, EPUB and Kindle. Book excerpt: This comprehensive guide dives into the fascinating world of Artificial Intelligence (AI) and its cutting-edge subfield, Generative AI. Designed for beginners and enthusiasts alike, it equips you with the knowledge and skills to navigate the complexities of machine learning and unlock the power of AI for advanced applications. Building a Strong Foundation The journey begins with mastering the fundamentals. You'll explore the different approaches to AI, delve into the history of this revolutionary field, and gain a solid understanding of various subfields like Machine Learning, Deep Learning, Natural Language Processing, and Computer Vision. Delving into Machine Learning Machine learning, the core of AI's learning ability, takes center stage. You'll grasp the difference between supervised and unsupervised learning paradigms, discover popular algorithms like decision trees and neural networks, and learn the importance of data preparation for optimal model performance. Evaluation metrics become your tools to measure how effectively your models are learning. Unveiling the Power of Deep Learning Get ready to explore the intricate world of Deep Learning, a powerful subset of machine learning inspired by the human brain. Demystify neural networks, the building blocks of deep learning, and dive into specialized architectures like Convolutional Neural Networks (CNNs) for image recognition and Recurrent Neural Networks (RNNs) for handling sequential data. Deep learning frameworks become your allies, simplifying the process of building and deploying complex deep learning models. The Art of Machine Creation: Generative AI The book then shifts its focus to the transformative realm of Generative AI. Here, machines not only learn but create entirely new data. Explore different types of generative models, from autoregressive models to variational autoencoders, and witness their applications in text generation, image synthesis, and even music creation. A Deep Dive into Generative Adversarial Networks (GANs) Among generative models, Generative Adversarial Networks (GANs) have captured the imagination of researchers and the public alike. This chapter delves into the intriguing concept of GANs, where a generator model continuously strives to create realistic data while a discriminator model acts as a critic, ensuring the generated data is indistinguishable from real data. You'll explore the training process, the challenges of taming GANs, and best practices for achieving optimal results. Advanced Applications Across Domains The book then showcases the transformative potential of Generative AI across various domains. Witness the power of text generation with RNNs, explore the ethical considerations surrounding deepfakes, and discover how chatbots are revolutionizing communication. In the visual realm, delve into Deep Dream and Neural Style Transfer algorithms, and witness the creation of realistic images and videos with cutting-edge generative models. Mastering AI and Generative AI empowers you to not only understand these revolutionary technologies but also leverage them for advanced applications. As you embark on this journey, be prepared to unlock the boundless potential of machine creation and shape the future of AI.

Generative Deep Learning

Author : David Foster
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1492041890
Total Pages : 301 pages
Book Rating : 4.4/5 (92 download)

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Book Synopsis Generative Deep Learning by : David Foster

Download or read book Generative Deep Learning written by David Foster and published by "O'Reilly Media, Inc.". This book was released on 2019-06-28 with total page 301 pages. Available in PDF, EPUB and Kindle. Book excerpt: Generative modeling is one of the hottest topics in AI. It’s now possible to teach a machine to excel at human endeavors such as painting, writing, and composing music. With this practical book, machine-learning engineers and data scientists will discover how to re-create some of the most impressive examples of generative deep learning models, such as variational autoencoders,generative adversarial networks (GANs), encoder-decoder models and world models. Author David Foster demonstrates the inner workings of each technique, starting with the basics of deep learning before advancing to some of the most cutting-edge algorithms in the field. Through tips and tricks, you’ll understand how to make your models learn more efficiently and become more creative. Discover how variational autoencoders can change facial expressions in photos Build practical GAN examples from scratch, including CycleGAN for style transfer and MuseGAN for music generation Create recurrent generative models for text generation and learn how to improve the models using attention Understand how generative models can help agents to accomplish tasks within a reinforcement learning setting Explore the architecture of the Transformer (BERT, GPT-2) and image generation models such as ProGAN and StyleGAN

Deep Learning for Coders with fastai and PyTorch

Author : Jeremy Howard
Publisher : O'Reilly Media
ISBN 13 : 1492045497
Total Pages : 624 pages
Book Rating : 4.4/5 (92 download)

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Book Synopsis Deep Learning for Coders with fastai and PyTorch by : Jeremy Howard

Download or read book Deep Learning for Coders with fastai and PyTorch written by Jeremy Howard and published by O'Reilly Media. This book was released on 2020-06-29 with total page 624 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this hands-on guide demonstrates, programmers comfortable with Python can achieve impressive results in deep learning with little math background, small amounts of data, and minimal code. How? With fastai, the first library to provide a consistent interface to the most frequently used deep learning applications. Authors Jeremy Howard and Sylvain Gugger, the creators of fastai, show you how to train a model on a wide range of tasks using fastai and PyTorch. You’ll also dive progressively further into deep learning theory to gain a complete understanding of the algorithms behind the scenes. Train models in computer vision, natural language processing, tabular data, and collaborative filtering Learn the latest deep learning techniques that matter most in practice Improve accuracy, speed, and reliability by understanding how deep learning models work Discover how to turn your models into web applications Implement deep learning algorithms from scratch Consider the ethical implications of your work Gain insight from the foreword by PyTorch cofounder, Soumith Chintala

Artificial Intelligence with Python

Author : Prateek Joshi
Publisher : Packt Publishing Ltd
ISBN 13 : 1786469677
Total Pages : 437 pages
Book Rating : 4.7/5 (864 download)

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Book Synopsis Artificial Intelligence with Python by : Prateek Joshi

Download or read book Artificial Intelligence with Python written by Prateek Joshi and published by Packt Publishing Ltd. This book was released on 2017-01-27 with total page 437 pages. Available in PDF, EPUB and Kindle. Book excerpt: Build real-world Artificial Intelligence applications with Python to intelligently interact with the world around you About This Book Step into the amazing world of intelligent apps using this comprehensive guide Enter the world of Artificial Intelligence, explore it, and create your own applications Work through simple yet insightful examples that will get you up and running with Artificial Intelligence in no time Who This Book Is For This book is for Python developers who want to build real-world Artificial Intelligence applications. This book is friendly to Python beginners, but being familiar with Python would be useful to play around with the code. It will also be useful for experienced Python programmers who are looking to use Artificial Intelligence techniques in their existing technology stacks. What You Will Learn Realize different classification and regression techniques Understand the concept of clustering and how to use it to automatically segment data See how to build an intelligent recommender system Understand logic programming and how to use it Build automatic speech recognition systems Understand the basics of heuristic search and genetic programming Develop games using Artificial Intelligence Learn how reinforcement learning works Discover how to build intelligent applications centered on images, text, and time series data See how to use deep learning algorithms and build applications based on it In Detail Artificial Intelligence is becoming increasingly relevant in the modern world where everything is driven by technology and data. It is used extensively across many fields such as search engines, image recognition, robotics, finance, and so on. We will explore various real-world scenarios in this book and you'll learn about various algorithms that can be used to build Artificial Intelligence applications. During the course of this book, you will find out how to make informed decisions about what algorithms to use in a given context. Starting from the basics of Artificial Intelligence, you will learn how to develop various building blocks using different data mining techniques. You will see how to implement different algorithms to get the best possible results, and will understand how to apply them to real-world scenarios. If you want to add an intelligence layer to any application that's based on images, text, stock market, or some other form of data, this exciting book on Artificial Intelligence will definitely be your guide! Style and approach This highly practical book will show you how to implement Artificial Intelligence. The book provides multiple examples enabling you to create smart applications to meet the needs of your organization. In every chapter, we explain an algorithm, implement it, and then build a smart application.

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.

Generative Ai: A Comprehensive Guide to Mastering Generative Ai (Understanding the Essentials and Applications of This Breakthrough Technology)

Download Generative Ai: A Comprehensive Guide to Mastering Generative Ai (Understanding the Essentials and Applications of This Breakthrough Technology) PDF Online Free

Author : Donald Brewer
Publisher : Donald Brewer
ISBN 13 :
Total Pages : 269 pages
Book Rating : 4./5 ( download)

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Book Synopsis Generative Ai: A Comprehensive Guide to Mastering Generative Ai (Understanding the Essentials and Applications of This Breakthrough Technology) by : Donald Brewer

Download or read book Generative Ai: A Comprehensive Guide to Mastering Generative Ai (Understanding the Essentials and Applications of This Breakthrough Technology) written by Donald Brewer and published by Donald Brewer. This book was released on 101-01-01 with total page 269 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book also delves into the ethical considerations and challenges associated with implementing generative ai, providing readers with a balanced perspective on its impact on society and the workforce. By exploring the role of leadership in harnessing generative ai for organizational success, readers will gain valuable insights into how to navigate this rapidly evolving landscape. Whether you're a business leader seeking to unlock the potential of generative ai for your organization or a technology enthusiast eager to explore its applications across industries, this book offers a comprehensive overview of one of the most exciting developments in artificial intelligence today. You will unravel valuable insights: • A deep dive into the ethical frameworks needed for responsible ai deployment in your organization • Actionable tips to integrate ai seamlessly into your existing workflow • Unparalleled case studies from businesses that have successfully tapped into the ai advantage • A toolkit to leverage competitive intelligence insights through ai • A crystal-clear demystification of common misconceptions surrounding ai • A practical ai vocabulary that every business leader should know In this book, i will provide you with a comprehensive overview of generative ai, including the underlying principles and the latest trends in the field. I will also show you how to apply generative ai to a variety of tasks and applications in your business as well as various other industries responsibly and safely. One of the key benefits of generative ai is its ability to learn from massive realms of data and generate new, unseen data.

AI in Talent Development

Author : Margie Meacham
Publisher : Association for Talent Development
ISBN 13 : 1950496325
Total Pages : 185 pages
Book Rating : 4.9/5 (54 download)

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Book Synopsis AI in Talent Development by : Margie Meacham

Download or read book AI in Talent Development written by Margie Meacham and published by Association for Talent Development. This book was released on 2020-12-15 with total page 185 pages. Available in PDF, EPUB and Kindle. Book excerpt: Creating Transparent AI From agriculture to transportation, entertainment to medicine, and banking to social media, artificial intelligence (AI) is changing how humans do practically everything. We experience AI in our daily lives through our fitness trackers, home digital assistant systems, and curated news services, to name a few examples. For talent development, this is no different. The fields of artificial intelligence and talent development have been on a collision course for decades, and their convergence has already occurred. It has just taken many in our profession some time to recognize this fact. On the horizon, AI-powered innovations are transforming the workplace and the role of the talent development professional, affecting recruiting to training to compensation. As such, there are actions TD professionals should take now to prepare ourselves and our organizations for the evolving AI revolution. In AI in Talent Development, Margie Meacham describes the benefits, uses, and risks of AI technology and offers practical tools to strengthen and enhance learning and performance programs. In layman’s terms, Meacham demonstrates how we can free time for ourselves by employing a useful robot “assistant,” create a chatbot for specific tasks (such as a new manager bot, a sales coach bot, or new employee onboarding bot), and build personalized coaching tools from AI-processed big data. She concludes each of the six chapters with helpful tips and includes a resource guide with planning tools, templates, and worksheets. Meacham dispels fear of AI’s black box—the term used to describe its unknowability and opacity—and points out ways AI can help us be better at creativity and critical thinking, what we humans do best.

Mastering AI

Author : Jeremy Kahn
Publisher : Simon and Schuster
ISBN 13 : 1668053349
Total Pages : 336 pages
Book Rating : 4.6/5 (68 download)

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Book Synopsis Mastering AI by : Jeremy Kahn

Download or read book Mastering AI written by Jeremy Kahn and published by Simon and Schuster. This book was released on 2024-07-09 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: A Fortune magazine journalist draws on his expertise and extensive contacts among the companies and scientists at the forefront of artificial intelligence to offer dramatic predictions of AI’s impact over the next decade, from reshaping our economy and the way we work, learn, and create to unknitting our social fabric, jeopardizing our democracy, and fundamentally altering the way we think. Within the next five years, Jeremy Kahn predicts, AI will disrupt almost every industry and enterprise, with vastly increased efficiency and productivity. It will restructure the workforce, making AI copilots a must for every knowledge worker. It will revamp education, meaning children around the world can have personal, portable tutors. It will revolutionize health care, making individualized, targeted pharmaceuticals more affordable. It will compel us to reimagine how we make art, compose music, and write and publish books. The potential of generative AI to extend our skills, talents, and creativity as humans is undeniably exciting and promising. But while this new technology has a bright future, it also casts a dark and fearful shadow. AI will provoke pervasive, disruptive, potentially devastating knock-on effects. Leveraging his unrivaled access to the leaders, scientists, futurists, and others who are making AI a reality, Kahn will argue that if not carefully designed and vigilantly regulated AI will deepen income inequality, depressing wages while imposing winner-take-all markets across much of the economy. AI risks undermining democracy, as truth is overtaken by misinformation, racial bias, and harmful stereotypes. Continuing a process begun by the internet, AI will rewire our brains, likely inhibiting our ability to think critically, to remember, and even to get along with one another—unless we all take decisive action to prevent this from happening. Much as Michael Lewis’s classic The New New Thing offered a prescient, insightful, and eminently readable account of life inside the dot-com bubble, Mastering AI delivers much-needed guidance for anyone eager to understand the AI boom—and what comes next.

AI and Machine Learning for Coders

Author : Laurence Moroney
Publisher : O'Reilly Media
ISBN 13 : 1492078166
Total Pages : 393 pages
Book Rating : 4.4/5 (92 download)

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Book Synopsis AI and Machine Learning for Coders by : Laurence Moroney

Download or read book AI and Machine Learning for Coders written by Laurence Moroney and published by O'Reilly Media. This book was released on 2020-10-01 with total page 393 pages. Available in PDF, EPUB and Kindle. Book excerpt: If you're looking to make a career move from programmer to AI specialist, this is the ideal place to start. Based on Laurence Moroney's extremely successful AI courses, this introductory book provides a hands-on, code-first approach to help you build confidence while you learn key topics. You'll understand how to implement the most common scenarios in machine learning, such as computer vision, natural language processing (NLP), and sequence modeling for web, mobile, cloud, and embedded runtimes. Most books on machine learning begin with a daunting amount of advanced math. This guide is built on practical lessons that let you work directly with the code. You'll learn: How to build models with TensorFlow using skills that employers desire The basics of machine learning by working with code samples How to implement computer vision, including feature detection in images How to use NLP to tokenize and sequence words and sentences Methods for embedding models in Android and iOS How to serve models over the web and in the cloud with TensorFlow Serving

GenAI Practitioner: Mastering AI-Driven Marketing for the Future

Author : Anand Vemula
Publisher : Anand Vemula
ISBN 13 :
Total Pages : 92 pages
Book Rating : 4./5 ( download)

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Book Synopsis GenAI Practitioner: Mastering AI-Driven Marketing for the Future by : Anand Vemula

Download or read book GenAI Practitioner: Mastering AI-Driven Marketing for the Future written by Anand Vemula and published by Anand Vemula. This book was released on with total page 92 pages. Available in PDF, EPUB and Kindle. Book excerpt: In an era where artificial intelligence (AI) is transforming industries, "GenAI Practitioner: Mastering AI-Driven Marketing for the Future" serves as a comprehensive guide for marketers looking to leverage the power of Generative AI. This book provides a detailed exploration of how AI can revolutionize marketing strategies, enhance customer engagement, and drive business growth. The journey begins with an introduction to the fundamentals of Generative AI, explaining key concepts, terminologies, and the evolution of this transformative technology. Readers will gain a solid understanding of the principles underpinning AI, laying the groundwork for more advanced topics. The book delves into the role of Generative AI in marketing, highlighting its benefits through real-world case studies. These examples demonstrate successful AI-driven campaigns, showcasing how businesses have effectively utilized AI to personalize customer experiences, optimize marketing efforts, and achieve remarkable results. Practical guidance on setting up an AI framework is provided, detailing the necessary tools, technologies, and environment setup. This section emphasizes key considerations for implementation, ensuring readers are equipped to integrate AI into their marketing strategies seamlessly. Data management and preparation are critical components of AI success. The book covers the importance of data, methods for collection and cleaning, and best practices for structuring data to maximize the efficacy of AI algorithms. This foundational knowledge is crucial for creating accurate and effective AI models. The text further explores AI-driven content creation, including generating text, images, and videos. It emphasizes personalization and targeting, illustrating how AI can produce tailored marketing materials that resonate with individual customers. Customer engagement is enhanced through AI-driven insights, personalized interactions, and the use of chatbots and virtual assistants. The book discusses how AI can improve customer experience and retention by providing timely and relevant support. Measuring the success and ROI of AI initiatives is essential for justifying investments and guiding future strategies. The book outlines key performance indicators, methods for analyzing AI-driven campaigns, and ROI calculation techniques. Finally, readers are introduced to future trends in Generative AI and marketing, exploring emerging technologies and innovations. This forward-looking perspective prepares marketers to stay ahead in a rapidly evolving landscape, ensuring they can harness the full potential of AI to drive their marketing efforts into the future. **"GenAI Practitioner: Mastering AI-Driven Marketing for the Future"** is an essential resource for anyone seeking to understand and apply AI in marketing, offering practical insights and strategies for achieving success in the digital age.

AI Crash Course

Author : Hadelin de Ponteves
Publisher : Packt Publishing Ltd
ISBN 13 : 1838645551
Total Pages : 361 pages
Book Rating : 4.8/5 (386 download)

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Book Synopsis AI Crash Course by : Hadelin de Ponteves

Download or read book AI Crash Course written by Hadelin de Ponteves and published by Packt Publishing Ltd. This book was released on 2019-11-29 with total page 361 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unlock the power of artificial intelligence with top Udemy AI instructor Hadelin de Ponteves. Key FeaturesLearn from friendly, plain English explanations and practical activitiesPut ideas into action with 5 hands-on projects that show step-by-step how to build intelligent softwareUse AI to win classic video games and construct a virtual self-driving carBook Description Welcome to the Robot World ... and start building intelligent software now! Through his best-selling video courses, Hadelin de Ponteves has taught hundreds of thousands of people to write AI software. Now, for the first time, his hands-on, energetic approach is available as a book. Starting with the basics before easing you into more complicated formulas and notation, AI Crash Course gives you everything you need to build AI systems with reinforcement learning and deep learning. Five full working projects put the ideas into action, showing step-by-step how to build intelligent software using the best and easiest tools for AI programming, including Python, TensorFlow, Keras, and PyTorch. AI Crash Course teaches everyone to build an AI to work in their applications. Once you've read this book, you're only limited by your imagination. What you will learnMaster the basics of AI without any previous experienceBuild fun projects, including a virtual-self-driving car and a robot warehouse workerUse AI to solve real-world business problemsLearn how to code in PythonDiscover the 5 principles of reinforcement learningCreate your own AI toolkitWho this book is for If you want to add AI to your skillset, this book is for you. It doesn't require data science or machine learning knowledge. Just maths basics (high school level).

Mastering AI Game Development with Unreal

Author : Hrishikesh Andurlekar
Publisher : Orange Education Pvt Ltd
ISBN 13 : 8197953457
Total Pages : 502 pages
Book Rating : 4.1/5 (979 download)

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Book Synopsis Mastering AI Game Development with Unreal by : Hrishikesh Andurlekar

Download or read book Mastering AI Game Development with Unreal written by Hrishikesh Andurlekar and published by Orange Education Pvt Ltd. This book was released on 2024-10-14 with total page 502 pages. Available in PDF, EPUB and Kindle. Book excerpt: TAGLINE Elevate your Unreal Engine skills with This Essential Guide to AI-Driven Game Development! KEY FEATURES ● Comprehensive coverage of AI techniques and their Unreal Engine implementation ● Practical hands-on exercises and real-world examples for seamless AI integration ● Covers all important AI workflows in Unreal Engine DESCRIPTION In the rapidly evolving world of game development, integrating Artificial Intelligence (AI) into your Unreal Engine projects is no longer optional—it’s essential. Mastering AI for Unreal Engine is your definitive guide to unlocking the transformative power of AI, propelling your games beyond the ordinary and into the realm of cutting-edge, immersive experiences. Through a step-by-step approach, you will explore a wide range of AI techniques, including pathfinding, behavior trees, perception systems, and the powerful Environment Query System (EQS). Each chapter delves into the theoretical underpinnings of these AI components, followed by hands-on exercises and real-world examples that demonstrate their integration within Unreal Engine. We will learn to create intelligent, dynamic, and engaging game experiences by leveraging the power of AI. What sets this book apart is its deep dive into emerging AI frameworks like the Mass Framework, giving you a strategic edge in adopting the latest trends and technologies that are shaping the future of gaming. You’ll learn how to optimize your AI systems, enhance performance, and master debugging techniques critical for smooth, efficient development processes. Mastering AI for Unreal Engine doesn’t just teach you AI—it empowers you to innovate, create intelligent game worlds, and stand out in the fiercely competitive game development landscape. WHAT WILL YOU LEARN ● Set up and navigate Unreal Engine to establish a strong foundation for AI development. ● Learn Blueprints, create class Blueprints, and use Blueprint communication for interactive AI components. ● Build AI characters, and master navigation meshes and pathfinding for dynamic movement. ● Create complex AI behaviors using Behavior Trees and Blackboard components. ● Implement AI Perception to add sight and hearing, making your AI characters more aware and reactive. ● Use State Trees to manage AI states with evaluators, tasks, and transitions. ● Leverage the Environmental Query System (EQS) to enable AI to make context-aware decisions. ● Debug and optimize AI with Unreal’s visual logging and debugging tools. ● Explore advanced AI design techniques like Data Oriented Design, Mass AI, and ZoneGraph. WHO IS THIS BOOK FOR? This book is tailored for game developers, aspiring designers, and anyone interested in integrating AI into Unreal Engine projects. Suitable for beginners to experienced professionals, it’s ideal for students, hobbyists, and industry pros looking to enhance their AI skills. Whether you're creating Non-Player Characters (NPCs), designing complex decision-making systems, or advancing game AI, this book provides the tools and knowledge you need to succeed. TABLE OF CONTENTS 1. Introduction to Unreal Engine 2. Unreal Blueprints 3. Understanding AI in Games 4. Navigation and Pathfinding 5. Behavior Trees and Blackboards 6. AI Perception 7. StateTree 8. Environment Query System 9. SmartObjects 10. Debugging AI in Unreal Engine 11. Mass Framework and Future Trends in GameAI Index

Mastering Prompt Engineering for Generative AI: Unlocking the Full Potential of AI Technology

Author : Anand Vemula
Publisher : Anand Vemula
ISBN 13 :
Total Pages : 54 pages
Book Rating : 4./5 ( download)

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Book Synopsis Mastering Prompt Engineering for Generative AI: Unlocking the Full Potential of AI Technology by : Anand Vemula

Download or read book Mastering Prompt Engineering for Generative AI: Unlocking the Full Potential of AI Technology written by Anand Vemula and published by Anand Vemula. This book was released on with total page 54 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive guide to mastering the art and science of crafting effective prompts to unleash the full potential of generative AI. This book delves into the principles, techniques, and ethical considerations of prompt engineering, providing readers with practical insights and strategies for achieving optimal results. The book begins by exploring the fundamentals of prompt engineering, including the definition of prompts, their importance in guiding AI models, and the various types of prompts commonly used. Readers will learn about the common challenges and pitfalls of prompt engineering and gain a deeper understanding of AI models, their architecture, training processes, strengths, and limitations. Moving on to advanced topics, the book covers multi-turn prompts, contextual and sequential prompts, and leveraging model outputs to refine and enhance AI-generated content. Readers will discover domain-specific applications of prompt engineering, including creative writing, conversational AI, visual and artistic applications, and scientific and technical domains. Ethical considerations play a significant role in prompt engineering, and the book provides insights into recognizing and mitigating bias, ethical considerations, and responsible AI use. Readers will also gain practical knowledge of the tools and platforms available for prompt engineering, along with techniques for customizing and extending AI models. Testing and evaluation are essential aspects of prompt engineering, and the book offers guidance on metrics for assessing prompt performance, gathering user feedback, and conducting A/B testing and comparative analysis. Real-world case studies highlight successful applications of prompt engineering across various industries, offering valuable lessons and insights. Finally, the book explores future trends in generative AI and prompt engineering, providing readers with a glimpse into emerging technologies, predictions for the future of AI, and strategies for preparing for future developments. With its comprehensive coverage and practical insights, "Prompt Engineering for Generative AI" is an indispensable resource for AI enthusiasts, researchers, developers, and anyone looking to harness the power of generative AI through effective prompt engineering

Mastering Marketing Data Science

Author : Iain Brown
Publisher : John Wiley & Sons
ISBN 13 : 1394258720
Total Pages : 439 pages
Book Rating : 4.3/5 (942 download)

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Book Synopsis Mastering Marketing Data Science by : Iain Brown

Download or read book Mastering Marketing Data Science written by Iain Brown and published by John Wiley & Sons. This book was released on 2024-04-26 with total page 439 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unlock the Power of Data: Transform Your Marketing Strategies with Data Science In the digital age, understanding the symbiosis between marketing and data science is not just an advantage; it's a necessity. In Mastering Marketing Data Science: A Comprehensive Guide for Today's Marketers, Dr. Iain Brown, a leading expert in data science and marketing analytics, offers a comprehensive journey through the cutting-edge methodologies and applications that are defining the future of marketing. This book bridges the gap between theoretical data science concepts and their practical applications in marketing, providing readers with the tools and insights needed to elevate their strategies in a data-driven world. Whether you're a master's student, a marketing professional, or a data scientist keen on applying your skills in a marketing context, this guide will empower you with a deep understanding of marketing data science principles and the competence to apply these principles effectively. Comprehensive Coverage: From data collection to predictive analytics, NLP, and beyond, explore every facet of marketing data science. Practical Applications: Engage with real-world examples, hands-on exercises in both Python & SAS, and actionable insights to apply in your marketing campaigns. Expert Guidance: Benefit from Dr. Iain Brown's decade of experience as he shares cutting-edge techniques and ethical considerations in marketing data science. Future-Ready Skills: Learn about the latest advancements, including generative AI, to stay ahead in the rapidly evolving marketing landscape. Accessible Learning: Tailored for both beginners and seasoned professionals, this book ensures a smooth learning curve with a clear, engaging narrative. Mastering Marketing Data Science is designed as a comprehensive how-to guide, weaving together theory and practice to offer a dynamic, workbook-style learning experience. Dr. Brown's voice and expertise guide you through the complexities of marketing data science, making sophisticated concepts accessible and actionable.

Mastering Transformers

Author : Savaş Yıldırım
Publisher : Packt Publishing Ltd
ISBN 13 : 1837631506
Total Pages : 462 pages
Book Rating : 4.8/5 (376 download)

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Book Synopsis Mastering Transformers by : Savaş Yıldırım

Download or read book Mastering Transformers written by Savaş Yıldırım and published by Packt Publishing Ltd. This book was released on 2024-06-03 with total page 462 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explore transformer-based language models from BERT to GPT, delving into NLP and computer vision tasks, while tackling challenges effectively Key Features Understand the complexity of deep learning architecture and transformers architecture Create solutions to industrial natural language processing (NLP) and computer vision (CV) problems Explore challenges in the preparation process, such as problem and language-specific dataset transformation Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionTransformer-based language models such as BERT, T5, GPT, DALL-E, and ChatGPT have dominated NLP studies and become a new paradigm. Thanks to their accurate and fast fine-tuning capabilities, transformer-based language models have been able to outperform traditional machine learning-based approaches for many challenging natural language understanding (NLU) problems. Aside from NLP, a fast-growing area in multimodal learning and generative AI has recently been established, showing promising results. Mastering Transformers will help you understand and implement multimodal solutions, including text-to-image. Computer vision solutions that are based on transformers are also explained in the book. You’ll get started by understanding various transformer models before learning how to train different autoregressive language models such as GPT and XLNet. The book will also get you up to speed with boosting model performance, as well as tracking model training using the TensorBoard toolkit. In the later chapters, you’ll focus on using vision transformers to solve computer vision problems. Finally, you’ll discover how to harness the power of transformers to model time series data and for predicting. By the end of this transformers book, you’ll have an understanding of transformer models and how to use them to solve challenges in NLP and CV.What you will learn Focus on solving simple-to-complex NLP problems with Python Discover how to solve classification/regression problems with traditional NLP approaches Train a language model and explore how to fine-tune models to the downstream tasks Understand how to use transformers for generative AI and computer vision tasks Build transformer-based NLP apps with the Python transformers library Focus on language generation such as machine translation and conversational AI in any language Speed up transformer model inference to reduce latency Who this book is for This book is for deep learning researchers, hands-on practitioners, and ML/NLP researchers. Educators, as well as students who have a good command of programming subjects, knowledge in the field of machine learning and artificial intelligence, and who want to develop apps in the field of NLP as well as multimodal tasks will also benefit from this book’s hands-on approach. Knowledge of Python (or any programming language) and machine learning literature, as well as a basic understanding of computer science, are required.

Mastering AI (Artificial Intelligence)

Author : Kris Hermans
Publisher : Cybellium Ltd
ISBN 13 :
Total Pages : 213 pages
Book Rating : 4.3/5 (975 download)

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Book Synopsis Mastering AI (Artificial Intelligence) by : Kris Hermans

Download or read book Mastering AI (Artificial Intelligence) written by Kris Hermans and published by Cybellium Ltd. This book was released on with total page 213 pages. Available in PDF, EPUB and Kindle. Book excerpt: In a world where artificial intelligence is rapidly reshaping every aspect of our lives, "Mastering AI" serves as your definitive guide to understanding and harnessing this transformative technology. This comprehensive manual cuts through the hype, demystifying AI's complexities, and making it accessible to readers across the spectrum of expertise. Author Kris Hermans, a recognized authority in AI for Cybersecurity, expertly navigates the vast landscape of artificial intelligence, blending theoretical foundations with practical applications. Whether you're a beginner eager to grasp the basics or a seasoned professional looking to refine your skills, "Mastering AI" is your roadmap to successfully navigating the fascinating world of AI.

Artificial Intelligence and Machine Learning Fundamentals

Author : Zsolt Nagy
Publisher : Packt Publishing Ltd
ISBN 13 : 1789809207
Total Pages : 330 pages
Book Rating : 4.7/5 (898 download)

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Book Synopsis Artificial Intelligence and Machine Learning Fundamentals by : Zsolt Nagy

Download or read book Artificial Intelligence and Machine Learning Fundamentals written by Zsolt Nagy and published by Packt Publishing Ltd. This book was released on 2018-12-12 with total page 330 pages. Available in PDF, EPUB and Kindle. Book excerpt: Create AI applications in Python and lay the foundations for your career in data science Key FeaturesPractical examples that explain key machine learning algorithmsExplore neural networks in detail with interesting examplesMaster core AI concepts with engaging activitiesBook Description Machine learning and neural networks are pillars on which you can build intelligent applications. Artificial Intelligence and Machine Learning Fundamentals begins by introducing you to Python and discussing AI search algorithms. You will cover in-depth mathematical topics, such as regression and classification, illustrated by Python examples. As you make your way through the book, you will progress to advanced AI techniques and concepts, and work on real-life datasets to form decision trees and clusters. You will be introduced to neural networks, a powerful tool based on Moore's law. By the end of this book, you will be confident when it comes to building your own AI applications with your newly acquired skills! What you will learnUnderstand the importance, principles, and fields of AIImplement basic artificial intelligence concepts with PythonApply regression and classification concepts to real-world problemsPerform predictive analysis using decision trees and random forestsCarry out clustering using the k-means and mean shift algorithmsUnderstand the fundamentals of deep learning via practical examplesWho this book is for Artificial Intelligence and Machine Learning Fundamentals is for software developers and data scientists who want to enrich their projects with machine learning. You do not need any prior experience in AI. However, it’s recommended that you have knowledge of high school-level mathematics and at least one programming language (preferably Python).