Screen LibraryModern approaches in machine learning and cognitive science : a walkthrough : latest trends in AI /
This book discusses various machine learning & cognitive science approaches, presenting high-throughput research by experts in this area. Bringing together machine learning, cognitive science and other aspects of artificial intelligence to help provide a roadmap for future research on intelligen...
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| Group Author: | ; ; ; |
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| Published: |
Springer,
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| Publisher Address: | Cham, Switzerland : |
| Publication Dates: | [2020] |
| Literature type: | Book |
| Language: | English |
| Series: |
Studies in computational intelligence,
volume 885 |
| Subjects: | |
| Summary: |
This book discusses various machine learning & cognitive science approaches, presenting high-throughput research by experts in this area. Bringing together machine learning, cognitive science and other aspects of artificial intelligence to help provide a roadmap for future research on intelligent systems, the book is a valuable reference resource for students, researchers and industry practitioners wanting to keep abreast of recent developments in this dynamic, exciting and profitable research field. It is intended for postgraduate students, researchers, scholars and developers who are interested in machine learning and cognitive research, and is also suitable for senior undergraduate courses in related topics. Further, it is useful for practitioners dealing with advanced data processing, applied mathematicians, developers of software for agent-oriented systems and developers of embedded and real-time systems. |
| Carrier Form: | viii, 245 pages : illustrations (some color), forms ; 25 cm. |
| Bibliography: | Includes bibliographical references. |
| ISBN: |
9783030384449 (hardback) : 3030384446 (hardback) |
| Index Number: | Q325 |
| CLC: | TP181 |
| Call Number: | TP181/M689-1 |