Using hands-on examples, this practical book shows data scientists and data practitioners how to build their own custom knowledge graphs. Authors Jesus Barrasa and Jim Webber... Læs mere
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.
Machines That Think explores how artificial intelligence helps us understand human intelligence, machines that compose music and write stories - and asks if AI is really a threat.
Data governance incorporates the ways people, processes, and technology work together to ensure data is trustworthy and can be used effectively. This practical guide shows you how to effectively implement and scale data governance throughout your organization.
This self-contained textbook introduces all the relevant mathematical concepts needed to understand and use machine learning methods, with a minimum of prerequisites.... Læs mere
It is a gateway to the dynamic intersection of Python programming, smart home technology, and advanced machine learning applications, making it an invaluable resource for those eager to explore this rapidly growing field.
This book provides an illustration of the various methods and structures that are utilized in machine learning to make use of data that is generated by... Læs mere
The book includes detailed Python examples for each phase, making it an essential resource for researchers and practitioners in animal behavior and technology.
As Multi-Criteria Decision-Making (MCDM) continues to grow and evolve, Machine Learning (ML) techniques have... Læs mere
The book delves into how to apply deep learning to areas of operations research. The book focuses on decision modeling and model optimization and features case studies.
This book provides a platform for presenting machine learning-enabled healthcare techniques and offers a... Læs mere