Machine Learning with Python

Principles and Practical Techniques

Parteek Bhatia (Thapar University, India)

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English

Cambridge University Press
30 November 2024

Pattern recognition; Computer vision

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Machine learning has become a dominant problem-solving technique in the modern world, with applications ranging from search engines and social media to self-driving cars and artificial intelligence. This lucid textbook presents the theoretical foundations of machine learning algorithms, and then illustrates each concept with its detailed implementation in Python to allow beginners to effectively implement the principles in real-world applications. All major techniques, such as regression, classification, clustering, deep learning, and association mining, have been illustrated using step-by-step coding instructions to help inculcate a 'learning by doing' approach. The book has no prerequisites, and covers the subject from the ground up, including a detailed introductory chapter on the Python language. As such, it is going to be a valuable resource not only for students of computer science, but also for anyone looking for a foundation in the subject, as well as professionals looking for a ready reckoner.

By: Parteek Bhatia (Thapar University India)
Imprint: Cambridge University Press
Country of Publication: United Kingdom
ISBN: 9781009170246
ISBN 10: 1009170244
Pages: 850
Publication Date: 30 November 2024
Audience: General/trade , ELT Advanced
Format: Paperback
Publisher's Status: Forthcoming