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Machine Learning Algorithms Using Scikit And Tensorflow Environments
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Book Synopsis Machine Learning Algorithms Using Scikit and TensorFlow Environments by : Baby Maruthi, Puvvadi
Download or read book Machine Learning Algorithms Using Scikit and TensorFlow Environments written by Baby Maruthi, Puvvadi and published by IGI Global. This book was released on 2023-12-18 with total page 473 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine learning is able to solve real-time problems. It has several algorithms such as classification, clustering, and more. To learn these essential algorithms, we require tools like Scikit and TensorFlow. Machine Learning Algorithms Using Scikit and TensorFlow Environments assists researchers in learning and implementing these critical algorithms. Covering key topics such as classification, artificial neural networks, prediction, random forest, and regression analysis, this premier reference source is ideal for industry professionals, computer scientists, researchers, academicians, scholars, practitioners, instructors, and students.
Book Synopsis Reinforcement Learning by : Abhishek Nandy
Download or read book Reinforcement Learning written by Abhishek Nandy and published by Apress. This book was released on 2017-12-07 with total page 174 pages. Available in PDF, EPUB and Kindle. Book excerpt: Master reinforcement learning, a popular area of machine learning, starting with the basics: discover how agents and the environment evolve and then gain a clear picture of how they are inter-related. You’ll then work with theories related to reinforcement learning and see the concepts that build up the reinforcement learning process. Reinforcement Learning discusses algorithm implementations important for reinforcement learning, including Markov’s Decision process and Semi Markov Decision process. The next section shows you how to get started with Open AI before looking at Open AI Gym. You’ll then learn about Swarm Intelligence with Python in terms of reinforcement learning. The last part of the book starts with the TensorFlow environment and gives an outline of how reinforcement learning can be applied to TensorFlow. There’s also coverage of Keras, a framework that can be used with reinforcement learning. Finally, you'll delve into Google’s Deep Mind and see scenarios where reinforcement learning can be used. What You'll Learn Absorb the core concepts of the reinforcement learning process Use advanced topics of deep learning and AI Work with Open AI Gym, Open AI, and Python Harness reinforcement learning with TensorFlow and Keras using Python Who This Book Is For Data scientists, machine learning and deep learning professionals, developers who want to adapt and learn reinforcement learning.
Book Synopsis Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow by : Aurélien Géron
Download or read book Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow written by Aurélien Géron and published by O'Reilly Media. This book was released on 2019-09-05 with total page 851 pages. Available in PDF, EPUB and Kindle. Book excerpt: Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how. By using concrete examples, minimal theory, and two production-ready Python frameworks—Scikit-Learn and TensorFlow—author Aurélien Géron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You’ll learn a range of techniques, starting with simple linear regression and progressing to deep neural networks. With exercises in each chapter to help you apply what you’ve learned, all you need is programming experience to get started. Explore the machine learning landscape, particularly neural nets Use Scikit-Learn to track an example machine-learning project end-to-end Explore several training models, including support vector machines, decision trees, random forests, and ensemble methods Use the TensorFlow library to build and train neural nets Dive into neural net architectures, including convolutional nets, recurrent nets, and deep reinforcement learning Learn techniques for training and scaling deep neural nets
Book Synopsis Advanced Businesses in Industry 6.0 by : Oskounejad, Mohammad Mehdi
Download or read book Advanced Businesses in Industry 6.0 written by Oskounejad, Mohammad Mehdi and published by IGI Global. This book was released on 2024-04-29 with total page 297 pages. Available in PDF, EPUB and Kindle. Book excerpt: In an era dominated by technology, our world is experiencing a radical transformation through the relentless expansion of industrial generations. The advent of the fourth industrial generation unleashed transformative technologies that revolutionized businesses, enabling access to unprecedented data and analytical capabilities. As we transition into the fifth industrial generation, concepts like sustainability, resilience, and value take center stage, laying the foundation for what is now known as Industry 6.0. In this landscape, processes are intelligently managed without human intervention, and artificial intelligence burgeons, promising a future where calculations and analyses occur at unprecedented speeds through quantum computing. Advanced Businesses in Industry 6.0 emerges as a comprehensive guide to decipher the intricacies of Industry 6.0. With a focus on ultra-advanced concepts, we aim to provide a roadmap for scholars and professionals, offering insights into the opportunities and challenges within this ultra-smart environment. Tailored for students and professionals alike, this book delves into essential topics such as super smart businesses, supply chain advancements, smart factories, production, procurement, information logistics, distribution, interactions, marketing, finance, agriculture, and health systems in Industry 6.0.
Book Synopsis Python Machine Learning by : Ryan Turner
Download or read book Python Machine Learning written by Ryan Turner and published by Publishing Factory . This book was released on 2020-04-12 with total page 114 pages. Available in PDF, EPUB and Kindle. Book excerpt: Are you a novice programmer who wants to learn Python Machine Learning? Are you worried about how to translate what you already know into Python? This book will help you overcome those problems. As machines get ever more complex and perform more and more tasks to free up our time, so it is that new ideas are developed to help us continually improve their speed and abilities. One of these is Python and in Python Machine Learning: The Ultimate Beginner's Guide to Learn Python Machine Learning Step by Step using Scikit-Learn and Tensorflow, you will discover information and advice on: • What machine learning is • The history of machine learning • Approaches to machine learning • Support vector machines • Machine learning and neural networks • The Internet of Things (IoT) • The future of machine learning • And more… This book has been written specifically for beginners and the simple, step by step instructions and plain language make it an ideal place to start for anyone who has a passing interest in this fascinating subject. Python really is an amazing system and can provide you with endless possibilities when you start learning about it. Get a copy of Python Machine Learning today and see where the future lies!
Book Synopsis Python Machine Learning For Beginners by : Finn Sanders
Download or read book Python Machine Learning For Beginners written by Finn Sanders and published by Roland Bind. This book was released on 2019-05-22 with total page 105 pages. Available in PDF, EPUB and Kindle. Book excerpt: Imagine a world where you can make a computer program learn for itself? What if it could recognize who is in a picture or the exact websites that you want to look for when you type it into the program? What if you were able to create any kind of program that you wanted, even as a beginner programmer, without all of the convoluted codes and other information that makes your head spin? This is actually all possible. The programs that were mentioned before are all a part of machine learning. This is a breakthrough in the world of information technology, which allows the computer to learn how to behave, rather than asking the programmer to think of every single instance that may show up with their user ahead of time. it is taking over the world, and you may be using it now, without even realizing it. If you have used a search engine, worked with photo recognition, or done speech recognition devices on your phone, then you have worked with machine learning. And if you combine it with the Python programming language, it is faster, more powerful, and easier (even for beginners) to create your own programs today. Python is considered the ultimate coding language for beginners, but once you start to use it, you will never be able to tell. Many of the best programs out there use this language behind them, and if you are a beginner who is ready to learn, this is a great place to start. If you have a program in mind, or you just want to be able to get some programming knowledge and learn more about the power that comes behind it, then this is the guidebook for you. ★★Some of the topics that we will discuss include★★ ♦ The Fundamentals of Machine Learning, Deep learning, And Neural Networks ♦ How To Set Up Your Environment And Make Sure That Python, TensorFlow And Scikit-Learn Work Well For You ♦ How To Master Neural Network Implementation Using Different Libraries ♦ How Random Forest Algorithms Are Able To Help Out With Machine Learning ♦ How To Uncover Hidden Patterns And Structures With Clustering ♦ How Recurrent Neural Networks Work And When To Use ♦ The Importance Of Linear Classifiers And Why They Need To Be Used In Machine Learning ♦ And Much More! This guidebook is going to provide you with the information you need to get started with Python Machine Learning. If you have an idea for a great program, but you don't have the technical knowledge to make it happen, then this guidebook will help you get started. Machine learning has the capabilities, and Python has the ease, to help you, even as a beginner, create any product that you would like. If you want to learn more about how to make the best programs with Python Machine learning, buy the book today!
Book Synopsis Enhancing Medical Imaging with Emerging Technologies by : Sharma, Avinash Kumar
Download or read book Enhancing Medical Imaging with Emerging Technologies written by Sharma, Avinash Kumar and published by IGI Global. This book was released on 2024-04-15 with total page 412 pages. Available in PDF, EPUB and Kindle. Book excerpt: The field of medical imaging is rapidly evolving, with new technologies and techniques constantly emerging. However, this fast-paced advancement brings challenges such as the complexity of imaging modalities, the need for continuous education and training, and the integration of emerging technologies like AI and robotics into existing healthcare systems. Healthcare professionals and technology enthusiasts often need help to keep pace with these changes and may feel overwhelmed by the vast amount of information and possibilities in the field. Enhancing Medical Imaging with Emerging Technologies offers a comprehensive solution to these challenges. By providing a thorough introduction to medical imaging systems, including the fundamentals of system theory and image processing, the book serves as a foundational resource for understanding the complex world of medical imaging. It covers various imaging modalities, from conventional camera systems to advanced techniques like magnetic resonance imaging and optical coherence tomography, offering readers a holistic view of the field. This book is a valuable resource that inspires hope, sparks curiosity, and paints a vivid picture of the limitless potential of medical imaging.
Book Synopsis Cases on AI Ethics in Business by : Tennin, Kyla Latrice
Download or read book Cases on AI Ethics in Business written by Tennin, Kyla Latrice and published by IGI Global. This book was released on 2024-05-17 with total page 367 pages. Available in PDF, EPUB and Kindle. Book excerpt: Organizations face a pressing challenge in today's rapidly evolving economies: navigating the ethical complexities of adopting Artificial Intelligence (AI) and related technologies. As AI becomes increasingly integral to operations, transparency, fairness, accountability, and privacy concerns are more critical than ever. Organizations need practical guidance to develop and implement AI ethics strategies effectively. Cases on AI Ethics in Business offers a comprehensive solution by examining AI Ethics through theoretical lenses and innovative practices. It provides a roadmap for organizations to address ethical challenges in AI adoption, offering insights from leaders in the field. With a focus on theory-to-practice, the book equips readers with actionable strategies and frameworks to navigate the ethical implications of AI, ensuring responsible and sustainable AI deployment.
Book Synopsis Advances in Computational Intelligence for the Healthcare Industry 4.0 by : Shah, Imdad Ali
Download or read book Advances in Computational Intelligence for the Healthcare Industry 4.0 written by Shah, Imdad Ali and published by IGI Global. This book was released on 2024-04-26 with total page 389 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the dynamic environment of healthcare, the fusion of Computational Intelligence and Healthcare Industry 4.0 has enabled remarkable advancements in disease detection and analysis. However, a critical challenge persists – the limitations of current computational intelligence approaches in dealing with small sample sizes. This setback hampers the performance of these innovative models, hindering their potential impact on medical applications. As we stand at the crossroads of technological innovation and healthcare evolution, the need for a solution becomes paramount. Advances in Computational Intelligence for the Healthcare Industry 4.0 is a comprehensive guide addressing the very heart of this challenge. Designed for academics, researchers, healthcare professionals, and stakeholders in Healthcare Industry 4.0, this book serves as a source of innovation. It not only illuminates the complexities of computational intelligence in healthcare but also provides a roadmap for overcoming the limitations posed by small sample sizes. From fundamental principles to innovative concepts, this book offers a holistic perspective, shaping the future of healthcare through the lens of computational intelligence and Healthcare Industry 4.0.
Book Synopsis Converging Pharmacy Science and Engineering in Computational Drug Discovery by : Tripathi, Rati Kailash Prasad
Download or read book Converging Pharmacy Science and Engineering in Computational Drug Discovery written by Tripathi, Rati Kailash Prasad and published by IGI Global. This book was released on 2024-04-22 with total page 337 pages. Available in PDF, EPUB and Kindle. Book excerpt: The world of pharmaceutical research is moving at lightning speed, and the age-old approach to drug discovery faces many challenges. It's a fascinating time to be on the cutting edge of medical innovation, but it's certainly not without its obstacles. The process of developing new drugs is often time-consuming, expensive, and fraught with uncertainty. Researchers are constantly seeking ways to streamline this process, reduce costs, and increase the success rate of bringing new drugs to market. One promising solution lies in the convergence of pharmacy science and engineering, particularly in computational drug discovery. Converging Pharmacy Science and Engineering in Computational Drug Discovery presents a comprehensive solution to these challenges by exploring the transformative synergy between pharmacy science and engineering. This book demonstrates how researchers can expedite the identification and development of novel therapeutic compounds by harnessing the power of computational approaches, such as sophisticated algorithms and modeling techniques. Through interdisciplinary collaboration, pharmacy scientists and engineers can revolutionize drug discovery, paving the way for more efficient and effective treatments. This book is an invaluable resource for pharmaceutical scientists, researchers, and engineers seeking to enhance their understanding of computational drug discovery. This book inspires future innovations by showcasing cutting-edge methodologies and innovative research at the intersection of pharmacy science and engineering. It contributes to the ongoing evolution of pharmaceutical research. It offers practical insights and solutions that will shape the future of drug discovery, making it essential reading for anyone involved in the pharmaceutical industry.
Book Synopsis Perspectives and Considerations on the Evolution of Smart Systems by : Habib, Maki K.
Download or read book Perspectives and Considerations on the Evolution of Smart Systems written by Habib, Maki K. and published by IGI Global. This book was released on 2023-08-01 with total page 435 pages. Available in PDF, EPUB and Kindle. Book excerpt: Smart systems are rapidly evolving and finding ways to influence different aspects of human life, industry, and the environment. Smart systems based on available data should have the ability to predict and be adaptive, which leads to performing reliable, smart actions. Smartness and learning capabilities are essential characteristics describing smart systems besides connectivity and digital virtual cloudification technologies. Perspectives and Considerations on the Evolution of Smart Systems discusses the latest edge development that informs and facilitates the next level of development. It highlights how the evolving technologies and techniques are going to impact the developments in the field considering climate, environment, circular economy, and ecosystems. Covering topics such as dynamic difficulty adjustment, intelligent control, and serious games, this premier reference source is an excellent resource for engineers, computer scientists, IT professionals, developers, data analysts, students and educators of higher education, librarians, researchers, and academicians.
Book Synopsis Ethical Marketing Through Data Governance Standards and Effective Technology by : Saluja, Shefali
Download or read book Ethical Marketing Through Data Governance Standards and Effective Technology written by Saluja, Shefali and published by IGI Global. This book was released on 2024-05-13 with total page 349 pages. Available in PDF, EPUB and Kindle. Book excerpt: Marketing on digital platforms requires critical thinking on data management systems, machine learning methods, and attributes like customer trust, societal ethics, and managing consumer feedback with the utmost utilization of technology in different ways. The pursuit for a unified source of information is fundamental for marketers in digital marketing. Ethical Marketing Through Data Governance Standards and Effective Technology delves into the intricacies of achieving this unity by addressing the challenges and presenting solutions in a structured manner. The book explores the fundamental necessity for an effective data governance strategy. It emphasizes the eradication of silos and the establishment of regulations governing data classification, storage, and processing. Within this framework, the application of artificial intelligence in marketing takes center stage. The book investigates Artificial Intelligence (AI) marketing, machine learning methods, and data management systems. Furthermore, the book studies advertising standards and challenges on online platforms. The intersection of technology and advertising is dissected, focusing on virtual assistance through avatars and their impact on consumer psychology. The importance of a comprehensive database governance strategy is underscored, presenting a complete approach for corporations to navigate the intricacies of online marketing while upholding ethical standards.
Book Synopsis Marketing Innovation Strategies and Consumer Behavior by : Barbosa, Belem
Download or read book Marketing Innovation Strategies and Consumer Behavior written by Barbosa, Belem and published by IGI Global. This book was released on 2024-04-09 with total page 490 pages. Available in PDF, EPUB and Kindle. Book excerpt: In today's fast-paced global marketplace, businesses grapple with the relentless demand for innovation in marketing strategies. The landscape is ever-evolving, driven by digital advancements and shifting consumer behaviors, leaving companies scrambling to stay relevant. Academic scholars, educators, and managers face a formidable challenge: deciphering the complex web of trends and technologies shaping modern marketing while equipping themselves with actionable strategies to thrive in this dynamic environment. By delving into topics ranging from digital marketing and sustainability initiatives to data analytics and emerging technologies, Marketing Innovation Strategies and Consumer Behavior equips readers with the tools they need to survive and thrive in the modern marketplace. Its emphasis on real-world case studies ensures practical relevance, while its theoretical underpinnings offer a solid foundation for academic inquiry. This book is an indispensable resource for scholars seeking to deepen their understanding of marketing innovation, providing actionable insights and strategic frameworks to navigate the complexities of the digital age with confidence and agility.
Book Synopsis Revolutionizing the Service Industry With OpenAI Models by : Demir, Mahmut
Download or read book Revolutionizing the Service Industry With OpenAI Models written by Demir, Mahmut and published by IGI Global. This book was released on 2024-04-23 with total page 333 pages. Available in PDF, EPUB and Kindle. Book excerpt: The pressing challenges businesses face are rising, including the ethical considerations associated with artificial intelligence (AI) in the service industry. Revolutionizing the Service Industry with OpenAI Models is a book rooted in real-world examples and expert insights, which provides practical solutions by implementing the latest technology and explores the impact of AI-powered conversational agents on the service sector. The book commences with an enlightening introduction that underscores the transformative power of ChatGPT and OpenAI models, setting the stage for a deep dive into their role in reshaping the service industry. Through a systematic examination of current challenges and opportunities, the text unveils the innovations brought about by ChatGPT in customer service, revealing its potential to enhance response times, handle complex inquiries, and deliver personalized experiences on an unprecedented scale. Delving into designing conversational user interfaces, addressing language barriers, and deploying AI in sensitive sectors like healthcare, the book guides readers through responsible and effective implementation. It balances the exploration of AI-driven automation with understanding the importance of maintaining a human touch in service interactions. This book is ideal for business owners, managers, and decision-makers seeking to leverage AI-powered conversational agents for strategic advantage. Simultaneously, AI enthusiasts, researchers, and developers will find invaluable insights into the current issues, best practices, and future trends in AI-driven customer interactions.
Book Synopsis Advanced Applications in Osmotic Computing by : Revathy, G.
Download or read book Advanced Applications in Osmotic Computing written by Revathy, G. and published by IGI Global. This book was released on 2024-03-04 with total page 393 pages. Available in PDF, EPUB and Kindle. Book excerpt: The interaction of various service models, including edge computing and cloud computing, are quickly changing to better support microservices. This intricate weave of technology and information sharing is necessary to build systems that run faster and more efficiently. The interplay between these computing methods and microservices is emerging as the field of Osmotic Computing. Experts can now embark on an intellectual journey into data-driven exploration and ingenuity with the guidance of the book, Advanced Applications in Osmotic Computing. As ethical considerations become rising concerns, the potential biases, privacy encumbrances, and equitable conundrums of osmotic computing are investigated. This book offers judicious strategies to navigate these quandaries conscientiously, adding a layer of responsibility to the discourse. Within these pages, the very fabric of understanding in IoT, Cloud, Edge, Fog, and Machine Learning is redefined, marking a pivotal shift in the paradigm of technological comprehension. This book is an epicenter for the latest evolutions in osmotic computing, unfurling unconventional methodologies that shape the trajectory of data-driven decision-making. Readers will plunge into the theoretical bedrock, simultaneously witnessing pragmatic applications that adeptly bridge the schism between the theoretical constructs and pragmatic realization. The intended audience is multifaceted, encompassing data scientists, machine learning engineers, researchers, academics, educators, students, industry practitioners, interdisciplinary experts, and technology and business leaders.
Book Synopsis Hands-On Machine Learning with Scikit-Learn and TensorFlow by : Aurélien Géron
Download or read book Hands-On Machine Learning with Scikit-Learn and TensorFlow written by Aurélien Géron and published by . This book was released on 2017 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Omnichannel Approach to Co-Creating Customer Experiences Through Metaverse Platforms by : Singla, Babita
Download or read book Omnichannel Approach to Co-Creating Customer Experiences Through Metaverse Platforms written by Singla, Babita and published by IGI Global. This book was released on 2024-03-04 with total page 239 pages. Available in PDF, EPUB and Kindle. Book excerpt: Academia is grappling with a pressing challenge in the 21st century that mirrors the seismic shifts taking place in the business world. These two sides of one issue are both asking the same question; how can we seamlessly incorporate metaverse platforms into the complex web of omnichannel business models? Scholars and academics are confronted with the urgent need to understand and adapt to this new digital frontier. With the rise of metaverse technologies, the boundaries between physical and virtual realms are blurring, making it increasingly vital for scholars to bridge the gap between theory and practical application. This challenge not only touches on the fields of marketing, finance, HR, supply chain, and economics but also extends to the broader implications for industries and customer experiences as we know them. At the forefront of addressing this formidable challenge is Omnichannel Approach to Co-Creating Customer Experiences Through Metaverse Platforms. This groundbreaking book tackles this pressing issue head-on, offering a comprehensive solution to the challenges that academic scholars face. By providing a holistic perspective that covers a multitude of disciplines, the book demystifies the complexities of integrating metaverse platforms into omnichannel business models. It offers a roadmap, not only for understanding these emerging technologies but also for harnessing their transformative power to create immersive and empowered customer experiences.
