Machine Learning

Put machine learning to work in SAP S/4HANA! Get started by reviewing your available tools and implementation options. Then, learn how to set up se...

This 3-volume set, CCIS 2058-2060 constitutes the First International Conference, on Artificial Intelligence, IAIC 2023, held in Nanjing, China, in...

Over the next few decades, machine learning and data science will transform the finance industry. With this practical book, analysts, traders, rese...

Simulation and synthesis are core parts of the future of AI and machine learning. Consider: programmers, data scientists, and machine learning engi...

Learn the skills necessary to design, build, and deploy applications powered by machine learning (ML). Through the course of this hands-on book, yo...

How can machine learning help the design of future communication networks and how can future networks meet the demands of emerging machine learnin...

This book presents cognitive modeling along with the new paradigm machine thinking to enhance existing AI power and address its current limitations...

Fundamental Structures of the Chinese Language is an exceptional resource for understanding how Chinese grammar functions in natural discourse.This...

Green computing is the emerging practice of using computing and information technology resources more efficiently while maintaining or improving ov...

A Computational Approach to Statistical Learning gives a novel introduction to predictive modeling by focusing on the algorithmic and numeric motiv...

This book describes how computer programs can generate narratives and how studies of computational narrative can illuminate how humans tell stories...

This book describes how computer programs can generate narratives and how studies of computational narrative can illuminate how humans tell stories...

The idea of technological singularity, and what it would mean if ordinary human intelligence were enhanced or overtaken by artificial intelligence....

The publication is attempted to address emerging trends in machine learning applications. Recent trends in information identification have identifi...

This book offers a comprehensive introduction to the central ideas that underpin deep learning. It is intended both for newcomers to machine learni...

Companies today are moving rapidly to integrate generative AI into their products and services. But there's a great deal of hype (and misunderstand...

Candlesticks have become a key component of platforms and charting programs for financial trading. With these charts, traders can learn underlying ...

Machine learning (ML) and the internet of things (IoT) are the top technologies used by businesses to increase efficiency, productivity, and compet...

This textbook educates current and future materials workers, engineers, and researchers on Materials Informatics. Volume I serves as an introductio...

Companies are spending billions on machine learning projects, but it's money wasted if the models can't be deployed effectively. In this practical ...

Machine Learning under Resource Constraints addresses novel machine learning algorithms that are challenged by high-throughput data, by high dimens...

Everything you''ve always wanted to know about self-driving cars, Netflix recommendations, IBM''s Watson, and video game-playing computer programs....

The typical data science task in industry starts with an ask from the business. But few data scientists have been taught what to do with that ask. ...