The latest data science books

Data science books show you how to learn from data. Statistics, databases, visualization and machine learning are taught through practical examples, usually with code. Beginners will find gentle introductions and working analysts will find deeper references. Good reading for a career change, too. The newest come first.

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AI for Research and Scalable, Efficient Systems Second International Workshop, AI4Research 2025, and First International Workshop, SEAS 2025, Held in Conjunction with AAAI 2025, Philadelphia, PA, USA, February 25–March 4, 2025, Proceedings
Cover of AI for Research and Scalable, Efficient Systems Second International Workshop, AI4Research 2025, and First International Workshop, SEAS 2025, Held in Conjunction with AAAI 2025, Philadelphia, PA, USA, February 25–March 4, 2025, Proceedings

AI for Research and Scalable, Efficient Systems Second International Workshop, AI4Research 2025, and First International Workshop, SEAS 2025, Held in Conjunction with AAAI 2025, Philadelphia, PA, USA, February 25–March 4, 2025, Proceedings

Qingyun Wang, Kuan-Chuan Peng, Wenpeng Yin, Abhishek Aich, Yumin Suh

Published 2025

302 pages

MDATA Cognitive Model
Cover of MDATA Cognitive Model

MDATA Cognitive Model

Zhaoquan Gu, Yan Jia, Binxing Fang, Aiping Li

Published 2025

231 pages

Python Polars
Cover of Python Polars

Python Polars

Jeroen Janssens, Thijs Nieuwdorp

Published 2025

501 pages

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