40 Algorithms Every Data Scientist Should Know : 40 Algorithms Every Data Scientist Should Know
Book Details
Format
Paperback / Softback
ISBN-10
9355519834
ISBN-13
9789355519832
Publisher
BPB Publications
Imprint
BPB Publications
Country of Manufacture
IN
Country of Publication
GB
Publication Date
Jun 1st, 2024
Print length
588 Pages
Weight
964 grams
Dimensions
24.70 x 19.50 x 2.80 cms
Product Classification:
Computing & information technology
Ksh 7,250.00
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Covers a wide range of AI and ML algorithms, from foundational concepts to advanced techniques. Explains complex topics in a clear and accessible manner, making it suitable for learners of all levels.
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.
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