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  • Authors: Chip Huyen (2022)

  • Machine learning systems are both complex and unique. Complex because they consist of many different components and involve many different stakeholders. Unique because they're data dependent, with data varying wildly from one use case to the next. In this book, you'll learn a holistic approach to designing ML systems that are reliable, scalable, maintainable, and adaptive to changing environments and business requirements. Author Chip Huyen, co-founder of Claypot AI, considers each design decision--such as how to process and create training data, which features to use, how often to retrain models, and what to monitor--in the context of how it can help your system as a whole achieve its objectives

  • Sách/Book


  • Authors: Jack D. Hidary (2019)

  • The second edition includes extensive updates and revisions, both to textual content and to the code. Sections have been added on quantum machine learning, quantum error correction, Dirac notation and more

  • Sách/Book


  • Authors: Westwood, Peter S (2008)

  • What Teachers Need to Know about Teaching Methods explains the different theories of teaching and learning, together with their underlying principles and methods. The book defines the role of a teacher in the learning process and looks at the latest research on what contributes toward effective practice. It deals with important key issues and provides a wealth of references for further study and exploration in the subject.

  • Sách/Book


  • Authors: Paula Boddington (2023)

  • This book introduces readers to critical ethical concerns in the development and use of artificial intelligence. Offering clear and accessible information on central concepts and debates in AI ethics, it explores how related problems are now forcing us to address fundamental, age-old questions about human life, value, and meaning. In addition, the book shows how foundational and theoretical issues relate to concrete controversies, with an emphasis on understanding how ethical questions play out in practice.

  • Sách/Book


  • Authors: Siddhartha Bhattacharyya (2023)

  • This book provides a detailed insight into Robotic Process Automation (RPA) technologies linked with AI that will help organizations implement Industry 4.0 procedures. RPA tools enhance their functionality by incorporating AI objectives, such as use of artificial neural network algorithms, text mining techniques, and natural language processing techniques for information extraction and the subsequent process of optimization and forecasting scenarios for the purpose of improving an organization's operational and business processes.