Machine Learning

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9781914185090Author Computer Programming AcademyFormat PaperbackPage Count 212Imprint Wiomy LtdPublisher Wiomy LtdWeight(grams) 152g

This book presents the latest developments in deep learning-enabled healthcare tools and technologies and offers practical ideas for using the IoT with deep learning (motion-based object data) to deal with human dynamics and challenges including critical...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9781801098243Author Eric ChamberlinFormat PaperbackPage Count 184Imprint Davide CicatielloPublisher Davide CicatielloWeight(grams) 152g

If you're a complete newbie who's wondering exactly what ChatGPT is, what is does, and how it can be a valuable resource for non-coders, this is the book for you. With a comprehensive exploration of ChatGPT's features, foundations, and applications, this...

Federated Learning is currently an emerging technology in the field of machine learning. Federated Learning is a structure which trains a centralized model for a given assignment, where the data is de-centralized across different edge devices or servers...

This book covers probability and statistics from the machine learning perspective. The chapters of this book belong to three categories: 1. The basics of probability and statistics: These chapters focus on the basics of probability and statistics, and...

Over the past few decades, the field of machine learning has made remarkable strides, surpassing human performance in tasks like voice and object recognition, as well as mastering various complex games. Despite these accomplishments, a critical challenge...

Due to its capability of handling very complex problems and its high flexibility in adapting to different algorithms, the kernel machine plays a crucial role in machine learning.Bio-Kernel Machines and Applications will introduce a new type of kernel...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9798868996351Author Jarrel EFormat PaperbackPage Count 332Imprint Not AvailPublisher Not AvailWeight(grams) 331g

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9780750362429Author Caide XiaoFormat HardbackPage Count 364Imprint Institute of Physics PublishingPublisher Institute of Physics Publishing

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9781738904938Author Mike JonesFormat PaperbackPage Count 66Imprint Mike JonesPublisher Mike JonesWeight(grams) 100g

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9781647710866Author Mark ReedFormat PaperbackPage Count 182Imprint Publishing Factory LLCPublisher Publishing Factory LLCWeight(grams) 186gDimensions(mm)...

Professor Judea Pearl won the 2011 Turing Award "for fundamental contributions to artificial intelligence through the development of a calculus for probabilistic and causal reasoning." This book contains the original articles that led to the award, as...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9781450390293Author Parisa EslambolchilarFormat HardbackPage Count 472Imprint ACM BooksPublisher ACM BooksWeight(grams) 191g

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9781450390262Author Parisa EslambolchilarFormat PaperbackPage Count 472Imprint ACM BooksPublisher ACM BooksWeight(grams) 191g

This textbook is a comprehensive guide to machine learning and artificial intelligence tailored for students in business and economics. It takes a hands-on approach to teach machine learning, emphasizing practical applications over complex mathematical...

Cutting through the mass of technical literature on machine learning and AI and the plethora of fear-mongering books on the rise of killer robots, Secrets of Machine Learning offers a clear-sighted explanation for the informed reader of what this new...

If you've locked down the basics of machine learning and AI and want a fun way to address lingering knowledge gaps, this book is for you. This rapid-fire series of short chapters addresses 30 essential questions in the field, helping you stay current on...

Machine Learning and Noisy Labels: Definitions, Theory, Techniques and Solutions provides an ideal introduction to machine learning with noisy labels that is suitable for senior undergraduates, post graduate students, researchers and practitioners using,...

This book provides a broad overview of the areas of artificial intelligence (AI) that can be used for smart farming applications, through either successful engineering or ground-breaking research. Among them, the highlighted tactics are soil management,...

- A focused and easy-to-follow introduction to machine learning aimed at engineering students and researchers. - The worked-through examples used in the case studies use a cost-effective and easy-to-implement method that others can easily replicate. -...

This book highlights applications that include machine learning methods to enhance new developments in complex and unmanned systems. The contents are organized from the applications requiring few methods to the ones combining different methods and...

The Internet of Things (IoT) involves physical devices, cars, household appliances, and any other physical appliance equipped with sensors, software, and network connections to gather and communicate data. Nowadays, this technology is embedded in...

Machine learning (ML) and deep learning (DL) have become essential tools in healthcare. They are capable of processing enormous amounts of data to find patterns and are also adopted into methods that manage and make sense of healthcare data, either...

Deep Learning for Engineers introduces the fundamental principles of deep learning along with an explanation of the basic elements required for understanding and applying deep learning models.As a comprehensive guideline for applying deep learning models...

The release of ChatGPT has kicked off an arms race in Machine Learning (ML), however ML has also been described as a black box and very hard to understand. Machine Learning, Animated eases you into basic ML concepts and summarizes the learning process in...

This book focuses on deep learning (DL), which is an important aspect of data science, that includes predictive modeling. DL applications are widely used in domains such as finance, transport, healthcare, automanufacturing, and advertising. The design of...

This reference text presents the knowledge base of computer vision and soft computing techniques with their applications for sustainable developments.Features:Covers a variety of deep learning architectures useful for computer vision tasksDemonstrates...

• First book in the market covering Machine Learning concepts with practical implementation in oneAPI• oneAPI and the related toolkits are completely covered.• The ToC is fully comprehensive.• The AI analytics toolkit and the explanation is very novel...

• First book in the market covering Machine Learning concepts with practical implementation in oneAPI• oneAPI and the related toolkits are completely covered.• The ToC is fully comprehensive.• The AI analytics toolkit and the explanation is very novel...

This book describes how computer programs can generate narratives and how studies of computational narrative can illuminate how humans tell stories. Combining an introduction to relevant concepts related to automatic storytelling with accessible...

This book proposes various deep learning models featuring how deep learning algorithms have been applied and used in real-life settings. The complexity of real-world scenarios and constraints imposed by the environment, together with budgetary and...

Biology, medicine and biochemistry have become data-centric fields for which Deep Learning methods are delivering groundbreaking results. Addressing high impact challenges, Deep Learning in Biology and Medicine provides an accessible and organic...

Machine Learning Toolbox for Social Scientists covers predictive methods with complementary statistical "tools" that make it mostly self-contained. The inferential statistics is the traditional framework for most data analytics courses in social science...

Introduces different optimization algorithms together to solve complex combinatorial optimization problems related to hospital management system or healthcare Applies machine learning-based analytics such as GAN networks, autoencoders, computational...

Describe the predictive analysis and forecasting techniques in different emerging and classical areas using the approach of ML and AIDiscusses the application of ML and AI in Medical Diagnostic systemsDeals with the security aspects of ML and using ML...

This book provides readers to the vision of Society 5.0, which was originally proposed in the fifth Basic Science and Technology Plan by Japan's government for a technology-based, human-centered society, emerging from the fourth industrial revolution...

Offers important key aspects in the development and implementation of ML and DL approaches toward developing prediction tools and models and improving medical diagnosis Teaches how ML and DL algorithms are applied to a broad range of application areas,...

Your training data has as much to do with the success of your data project as the algorithms themselves--most failures in deep learning systems relate to training data. But while training data is the foundation for successful machine learning, there are...

This addition to the Data Science Series introduces the principles of data science and the R language to the singular needs of water professionals. The book provides unique data and examples relevant to managing water utility and is sourced from the...