40 Algorithms Every Data Scientist Should Know: 40 Algorithms Every Data Scientist Should Know

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Jürgen Weichenberger Huw Kwon

40 Algorithms Every Data Scientist Should Know

Jürgen Weichenberger, Huw Kwon

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English

BPB Publications
07 September 2024

Computing & IT

Mastering AI and ML algorithms is essential for data scientists. This book covers a wide range of techniques, from supervised and unsupervised learning to deep learning and reinforcement learning. This book is a compass to the most important algorithms that every data scientist should have at their disposal when building a new AI/ML application. This book offers a thorough introduction to AI and ML, covering key concepts, data structures, and various algorithms like linear regression, decision trees, and neural networks. It explores learning techniques like supervised, unsupervised, and semi-supervised learning and applies them to real-world scenarios such as natural language processing and computer vision. With clear explanations, code examples, and detailed descriptions of 40 algorithms, including their mathematical foundations and practical applications, this resource is ideal for both beginners and experienced professionals looking to deepen their understanding of AI and ML.

By: Jürgen Weichenberger, Huw Kwon
Imprint: BPB Publications
Dimensions: Height: 235mm, Width: 191mm, Spine: 30mm
Weight: 998g
ISBN: 9789355519832
ISBN 10: 9355519834
Pages: 588
Publication Date: 07 September 2024
Audience: General/trade , ELT Advanced
Format: Paperback
Publisher's Status: Active

Jürgen Weichenberger has been working in Artificial Intelligence and Machine Learning Development for more than 20 years, playing central roles in numerous projects as a technical leader and chief data scientist, delivering projects using numerous different algorithms and even developing entire new algorithms for big companies, including well succeeded projects in Europe, Asia, and North America.

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40 Algorithms Every Data Scientist Should Know