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A Hands-On Introduction to Machine Learning

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Packed with real-world examples, industry insights and practical activities, this textbook is designed to teach machine learning in a way that is easy to understand and apply. It assumes only a basic knowledge of technology, making it an ideal resource for students and professionals, including those who are new to computer science. All the necessary topics are covered, including supervised and unsupervised learning, neural networks, reinforcement learning, cloud-based services, and the ethical issues still posing problems within the industry. While Python is used as the primary language, many exercises will also have the solutions provided in R for greater versatility. A suite of online resources is available to support teaching across a range of different courses, including example syllabi, a solutions manual, and lecture slides. Datasets and code are also available online for students, giving them everything they need to practice the examples and problems in the book.

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Detail Information

Series Title

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Call Number

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Publisher

: ., 2022

Collation

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Language

English

ISBN/ISSN

9781009122092

Classification

NONE

Content Type

text

Media Type

computer

Carrier Type

online resource

Edition

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Subject(s)

Management: General Interest
Machine Learning and Pattern Recognition,
Business and Management,Computer Science,

Specific Detail Info

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Statement of Responsibility

Chirag Shah

Other Information

Cataloger

Arin

Source

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Validator

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Digital Object Identifier (DOI)

https://doi.org/10.1017/9781009122092

Journal Volume

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Journal Issue

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Subtitle

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