Data Science books

manning.com / catalog / Data Science
Ashish Ranjan Jha , 2025
(1)
Arek Borucki , 2025
(4)
Sebastian Raschka and Abhinav Kimothi , 2025
(1)
Edward Raff, Drew Farris and Stella Biderman for Booz Allen Hamilton , 2025
Barbara Limmer, Laura Browne , 2025
Emmanuel Maggiori , 2025
François Chollet, Tomasz Kalinowski , 2025
Theo Despoudis , 2025
Abhinav Kimothi , 2025
Gianluigi Mucciolo , 2025
Gianluigi Mucciolo , 2025
Gianluigi Mucciolo , 2025
Gianluigi Mucciolo , 2025
Gianluigi Mucciolo , 2025
(2)
Vaibhav Verdhan
Foreword by Ravi Gopalakrishnan
, 2025
(3)
Chrissy LeMaire and Brandon Abshire
Foreword by Nitya Narasimhan
, 2025
Daniel Costea , 2025
Hamza Farooq , 2025
(3)
Anatoly Zelenin, Alexander Kropp
Foreword by Adam Bellemare
, 2025
Immanuel Trummer , 2025
(1)
Andrew Freed, Cari Jacobs, Eniko Rozsa
Foreword by Jesús Mantas
, 2025
(1)
Christopher Kardell and Mark Brouwer , 2025
Rob Reider and Alexander Michalka , 2025
(1)
Mona Khalil
Foreword by Barry McCardel
, 2025
(2)
Keita Broadwater and Namid Stillman
Foreword by Matthias Fey
, 2025
(68)
Sebastian Raschka , 2024
(1)
Mark Ryan and Luca Massaron
Foreword by Antonio Gulli
, 2025
(6)
Micheal Lanham , 2025
(8)
Numa Dhamani and Maggie Engler
Foreword by Sahar Massachi
, 2024
(1)
David Asboth
Foreword by Reuven M. Lerner
, 2025
(4)
Valerii Babushkin and Arseny Kravchenko , 2025
(1)
Robert Osazuwa Ness
Foreword by Lindsay Edwards
, 2025
Hobson Lane and Maria Dyshel , 2025
(2)
Aleix Ruiz de Villa , 2024
(2)
Christopher Brousseau and Matthew Sharp
Foreword by Joe Reis
, 2024
Vadim Smolyakov , 2024
(18)
Trey Grainger, Doug Turnbull, Max Irwin
Foreword by Grant Ingersoll
, 2024
(1)
Richard Mansfield , 2025
Benjamin Tan Wei Hao, Shanoop Padmanabhan, and Varun Mallya , 2025
(3)
Mark Liu
Foreword by Sarah Sanders
, 2024
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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