Machine Learning

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...

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...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9788770227841Author Rishabha MalviyaFormat HardbackPage Count 390Imprint River PublishersPublisher River PublishersWeight(grams) 960g

Privacy-Preserving Machine Learning is a practical guide to keeping ML data anonymous and secure. You'll learn the core principles behind different privacy preservation technologies, and how to put theory into practice for your own machine learning. ...

This compendium discusses the adaptive enterprise architecture (AEA) as information to support decisions and actions for desired efficiency and innovation (outcomes and impacts). This comprehensive information-driven approach uses data, analytics, 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...

Most data scientists and engineers today rely on quality labeled data to train machine learning models. But building a training set manually is time-consuming and expensive, leaving many companies with unfinished ML projects. There's a more practical...

The terms 'machine learning', 'pure mathematics and theoretical physics' may first appear to be topics in two very different categories in mathematics and computer science, yet in the past five years, we have seen many articles published that combined...

This book discusses the multifaceted nature of organisational excellence and proceeds to consider the roles played by data, technological advances leading to innovation, and value-based leadership in guiding an organisation in its journey towards...

This book explores the transformative impact of drone technology and unmanned aerial systems (UAS) across diverse industries, from precision agriculture and logistics to disaster response and forensic investigations.

Following on from “The Shortcut”, Nello Cristianini has authored another brilliant book, explaining the ideas behind a technology destined to change the world. If the worst fear is that of the unknown, the cure is knowledge

This book explores the transformative intersection of AI and Fintech. It analyses how AI is reshaping the financial industry and revolutionizing traditional practices. It provides understanding of the relationship between AI and Fintech, offering...

The book offers a theoretical orientation to the concepts required to introduce or review statistical and machine learning topics, and in addition to teaching the techniques, instructs readers on how to perform, implement, and interpret code and analyses...

Following on from “The Shortcut”, Nello Cristianini has authored another brilliant book, explaining the ideas behind a technology destined to change the world. If the worst fear is that of the unknown, the cure is knowledge

This book discusses the multifaceted nature of organisational excellence and proceeds to consider the roles played by data, technological advances leading to innovation, and value-based leadership in guiding an organisation in its journey towards...

This book presents machine learning applications in the field of engineering with a focus on deep learning-based machine learning approaches. It examines the relationship between three different multidisciplinary engineering branches: Biomedical...

With this hands-on guide, applied data scientists, machine learning engineers, and practitioners will learn how to build an E2E graph learning pipeline. You'll explore core challenges at each pipeline stage, from data acquisition and representation to...

Harness the power of generative AI in your coding with GitHub Copilot. In this practical guide, author Brent Laster explains what Copilot is, how it works, and what it can do for you. You'll learn how to leverage AI to automate and simplify development,...

This edited volume examines the transformative impact of AI technologies on global healthcare systems, with a focus on enhancing efficiency and accessibility. The content provides a comprehensive exploration of the principles and practices required to...

In a world where artificial intelligence is reshaping industries, how can we ensure that AI enhances human skills rather than replacing them? This book offers readers an accessible and insightful guide to the positive potential of AI for human...

In a world where artificial intelligence is reshaping industries, how can we ensure that AI enhances human skills rather than replacing them? This book offers readers an accessible and insightful guide to the positive potential of AI for human...

Cybersecurity in Robotic Autonomous Vehicles introduces a novel Intrusion Detection System (IDS) specifically designed for AVs, which leverages data prioritization in CAN IDs to enhance threat detection and mitigation. It offers a pioneering intrusion...

This edited volume examines the transformative impact of AI technologies on global healthcare systems, with a focus on enhancing efficiency and accessibility. The content provides a comprehensive exploration of the principles and practices required to...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9781633438750Author Valerii BabushkinFormat PaperbackPage Count 300Imprint Manning PublicationsPublisher Manning PublicationsWeight(grams) 358g

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9781098164416Author Ryan DayFormat PaperbackPage Count 325Imprint O'Reilly MediaPublisher O'Reilly Media

Today the healthcare sector is facing challenges such as detecting the cause of ailments, disease prevention, high operating costs, availability of skilled technicians and infrastructure bottlenecks. Intelligent healthcare management technologies are...

This comprehensive guide addresses key challenges at the intersection of data science, graph learning, and privacy preservation. It begins with foundational graph theory, covering essential definitions, concepts, and var-ious types of graphs. The book...

Artificial Intelligence: Applications and Innovations is a book about the science of artificial intelligence (AI). AI is the study of the design of intelligent computational agents. This book provides a valuable resource for researchers, scientists,...

This book explains machine learning and its implementation in the chemical and process industries. It explores the evolution of traditional plant operation into an integrated and smart operational environment and provides readers with the basis for...

Systems Biology and Machine Learning Methods in Reproductive Health is an innovative and wide-ranging book that discovers the synergetic combination of disciplines: systems biology and machine learning, with an application in the field of reproductive...

Application of Advanced Optimization Techniques for Healthcare Analytics, 1st Edition, is an excellent compilation of current and advanced optimization techniques which can readily be applied to solve different hospital management problems. The...

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...

Gone are the days when data was interlinked with related data by humans and human interpretation was required. Data is no longer just data. It is now considered a Thing or Entity or Concept with meaning, so that a machine not only understands the concept...

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...

Machine Learning, Cyber Security, and Blockchain in Smart Environment: Application and Challenges provides far-reaching insights into the recent techniques forming the backbone of smart environments, and addresses the vulnerabilities that give rise to...