Data Science books

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Sebastian Raschka and Abhinav Kimothi , 2025
Luca Antiga, Eli Stevens, Howard Huang, Thomas Viehmann , 2025
Andrea De Mauro , 2025
Guglielmo Iozzia , 2025
(1)
Edward Raff, Drew Farris and Stella Biderman for Booz Allen Hamilton , 2025
Will Kurt , 2025
Numa Dhamani and Maggie Engler , 2025
Arek Borucki , 2025
Noah Flynn , 2025
Barbara Limmer, Laura Browne , 2025
Emmanuel Maggiori , 2025
François Chollet, Tomasz Kalinowski , 2025
Rush Shahani , 2025
Theo Despoudis , 2025
Katya Gorshkova , 2025
Richard Davies , 2025
Abhinav Kimothi , 2025
Ashish Ranjan Jha , 2025
Roberto Infante , 2025
Gianluigi Mucciolo , 2025
Gianluigi Mucciolo , 2025
Gianluigi Mucciolo , 2025
Gianluigi Mucciolo , 2025
Gianluigi Mucciolo , 2025
Tomaž Bratanič and Oskar Hane , 2025
(2)
Vaibhav Verdhan
Foreword by Ravi Gopalakrishnan
, 2025
(1)
Chrissy LeMaire and Brandon Abshire
Foreword by Nitya Narasimhan
, 2025
François Chollet and Matthew Watson , 2025
Daniel Costea , 2025
Tyler Suard , 2025
Hamza Farooq , 2025
Benoît Cayla , 2025
Anatoly Zelenin, Alexander Kropp
Foreword by Adam Bellemare
, 2025
Immanuel Trummer , 2025
Shivendra Srivastava and Naresh Vurukonda , 2025
Fiodar Sazanavets , 2025
Andrew Freed, Cari Jacobs, Eniko Rozsa
Foreword by Jesús Mantas
, 2025
Christopher Kardell and Mark Brouwer , 2025
(3)
Alessandro Negro with Vlastimil Kus, Giuseppe Futia and Fabio Montagna , 2025
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Dive into the cutting-edge world of data science with our comprehensive collection. From foundational machine learning concepts to advanced AI applications, discover how to harness the power of data for real-world solutions. Learn essential techniques in deep learning, natural language processing, and generative AI, while mastering practical skills in data engineering, analysis, and visualization. Explore modern approaches to causal inference, outlier detection, and streaming data processing, alongside emerging technologies like knowledge graphs and large language models. Whether you're building AI-powered applications, implementing data pipelines, or developing sophisticated analytics solutions, find the expertise you need to transform raw data into actionable insights. For a more detailed breakdown, take a look at the following categories: AI books Big Data books Apache Spark books Big Data Processing books Graph Analysis books Stream Processing books Streaming Data Processing books Data Analysis books Data Analysis books Data Analysis and Business Intelligence books Data Manipulation and Analysis books Data Presentations and Visualizations books Feature Engineering books Optimization and Experimentation books Data Engineering books Data Engineering books Data Management and Organization books Data Science Infrastructure books Data Science with Python books Data Visualization books Recommender Systems books Software Engineering in Data Science books Deep Learning books Deep Learning books Generative AI books Machine Learning books Computer Vision books Distributed Machine Learning books Interpretable Machine Learning books Knowledge Graphs books Machine Learning books Machine Learning Algorithms books Natural Language Processing books Natural Language Processing (NLP) books Quantum Computing/Programming books Miscellaneous books