£31.66

Chapman and Hall/CRC Data Science and Analytics with Python (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)

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£44.94 £21.88 £26.91 £31.94 £36.98 £42.01 £47.04 25 January 2026 07 February 2026 20 February 2026 05 March 2026 18 March 2026

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5 days 21 days · current 1 day 2 days 24 days 0 6 12 18 24 £24-28 £28-32 £32-37 £37-41 £41-45 Days at Price

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Most common range: £41-45 (24 days, 45.3%)

Price range: £24 - £45

Price levels: 5 price ranges over 53 days

Description

Since the first edition of “Data Science and Analytics with Python” we have witnessed an unprecedented explosion in the interest and development within the fields of Artificial Intelligence and Machine Learning. This surge has led to the widespread adoption of the book, not just among business practitioners, but also by universities as a key textbook. In response to this growth, this new edition builds upon the success of its predecessor, expanding several sections, updating the code to reflect the latest advancements in Python libraries and modules, and addressing the ever-evolving landscape of generative AI (GenAI). This updated edition ensures that the examples and exercises remain relevant by incorporating the latest features of popular libraries such as Scikit-learn, pandas, and Numpy. Additionally, new sections delve into cutting-edge topics like generative AI, reflecting the advancements and the expanding role these technologies play. This edition also addresses crucial issues of explainability, transparency, and fairness in AI. These topics have rightly gained significant attention in recent years. As AI integrates more deeply into various aspects of our lives, understanding and mitigating biases, ensuring fairness, and maintaining transparency become paramount. This book provides comprehensive coverage of these topics, offering practical insights and guidance for data scientists and analysts. Designed as a practical companion for data analysts and budding data scientists, this book assumes a working knowledge of programming and statistical modelling but aims to guide readers deeper into the wonders of data analytics and machine learning. Maintaining the book's structure, each chapter stands alone as much as possible, allowing readers to use it as a reference as well as a textbook. Whether revisiting fundamental concepts or diving into new, advanced topics, this book offers something valuable for every reader.

Key Features

New Store Stock

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
02 June 2025
Listed Since
01 August 2024

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