Machine Learning

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...

Deep Learning (DL) is an effective approach for AI-based vehicular networks and can deliver a powerful set of tools for such vehicular network dynamics. In various domains of vehicular networks, DL can be used for learning-based channel estimation,...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9788770226950Author Akshara MakrariyaFormat HardbackPage Count 296Imprint River PublishersPublisher River Publishers

Written for professionals looking to build data science and analytics capabilities within their organizations as well as those who wish to expand their knowledge and advance their careers in the data spaceShows how to build a fit-for-purpose data science...

This book is written in a clear and thorough way to cover both the traditional and modern uses of artificial intelligence and soft computing. It gives an in-depth look at mathematical models, algorithms, and real-world problems that are hard to solve in...

This book aims at the tiny machine learning (TinyML) software and hardware synergy for edge intelligence applications. It presents on-device learning techniques covering model-level neural network design, algorithm-level training optimization, and...

Text Analytics: An Introduction to the Science and Applications of Unstructured Information Analysis is a concise and accessible introduction to the science and applications of text analytics (or text mining), which enables automatic knowledge discovery...

Focusing on how visual information is represented, stored and extracted in the human brain, this book uses cognitive neural modeling in order to show how visual information is represented and memorized in the brain. Breaking through traditional visual...

Machine Learning, Cyber Security and Blockchain in Smart Environment: Application and Challenges provides a deep insight into the recent techniques which form the backbone of smart environment such as Artificial Intelligence, Blockchain, Cyber Security,...

Data Science for Effective Healthcare Systems has a prime focus on the importance of data science in the healthcare domain. Various applications of data science in the health care domain have been studied to find possible solutions. In this period of...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9781394173327Author Indranath ChatterjeeFormat HardbackPage Count 240Imprint Wiley-IEEE PressPublisher John Wiley & Sons Inc

This book presents some post-estimation and predictions strategies for the host of useful statistical models with applications in data science. It combines statistical learning and machine learning techniques in a unique and optimal way. It is well-known...