Name: Machine Learning and Artificial Intelligence (en Inglés)
Price: 1715.14 MXN
Availability: InStock
Author: Joshi, Ameet V.
ISBN: 9783031122811

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portada Machine Learning and Artificial Intelligence (en Inglés)

Formato

Libro Físico

Autor

Ameet V. Joshi

Editorial

Springer

Idioma

Inglés

N° páginas

271

Encuadernación

Tapa Dura

Dimensiones

23.4 x 15.6 x 1.8 cm

Peso

0.59 kg.

ISBN13

9783031122811

N° edición

0002

Categorías

Ingeniería: general
Ingeniería de las comunicaciones y las telecomunicaciones
Inteligencia artificial

Machine Learning and Artificial Intelligence (en Inglés)

Ameet V. Joshi (Autor) · Springer · Tapa Dura

Libro Físico

$ 1,715.14

$ 3,430.29

Ahorras: $ 1,715.14

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Envío normal

Origen: Reino Unido (Costos de importación incluídos en el precio)

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Reseña del libro "Machine Learning and Artificial Intelligence (en Inglés)"

The new edition of this popular professional book on artificial intelligence (ML) and machine learning (ML) has been revised for classroom or training use. The new edition provides comprehensive coverage of combined AI and ML theory and applications. Rather than looking at the field from only a theoretical or only a practical perspective, this book unifies both perspectives to give holistic understanding. The first part introduces the concepts of AI and ML and their origin and current state. The second and third parts delve into conceptual and theoretic aspects of static and dynamic ML techniques. The fourth part describes the practical applications where presented techniques can be applied. The fifth part introduces the user to some of the implementation strategies for solving real life ML problems. Each chapter is accompanied with a set of exercises that will help the reader / student to apply the learnings from the chapter to a real-life problem. Completion of these exercises will help the reader / student to solidify the concepts learned. The book is appropriate for students in graduate and upper undergraduate courses in addition to researchers and professionals. It makes minimal use of mathematics to make the topics more intuitive and accessible. The book covers a large gamut of topics in the area of AI and ML and a professor can tailor a course on AI / ML based on the book by selecting and re-organizing the sequence of chapters to suit the needs.