Data Science books

manning.com / catalog / Data Science
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
Marco Peixeiro , 2025
Craig Walls , 2025
Stefan Sprenger , 2025
Wei-Meng Lee , 2025
Mona Khalil
Foreword by Barry McCardel
, 2025
Victor Dibia , 2025
(13)
Sebastian Raschka , 2024
Mark Ryan and Luca Massaron
Foreword by Antonio Gulli
, 2025
(1)
Micheal Lanham , 2025
(8)
Numa Dhamani and Maggie Engler
Foreword by Sahar Massachi
, 2024
Robert Osazuwa Ness
Foreword by Lindsay Edwards
, 2025
Hobson Lane and Maria Dyshel , 2025
Aleix Ruiz de Villa , 2024
(1)
Christopher Brousseau and Matthew Sharp
Foreword by Joe Reis
, 2024
Vadim Smolyakov , 2024
(11)
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
(2)
Mark Liu
Foreword by Sarah Sanders
, 2024
Mark Winteringham
Foreword by Nicola Martin
, 2024
Brett Kennedy , 2024
Maja Ferle
Foreword by Joe Reis
, 2024
(1)
Artur Guja, Marlena Siwiak, and Marian Siwiak
Foreword by Sue Tripathi
, 2024
Grigory Sapunov , 2024
Amit Bahree , 2024
Mariano Calandra , 2024
Mariano Calandra , 2024
Mariano Calandra , 2024
Mariano Calandra , 2024
Nathan B. Crocker , 2024
Angelica Lo Duca , 2024
Paul McFedries , 2024
(1)
David Clinton , 2024
Muneeb Shaikh , 2024
Ockert du Preez , 2024
Ockert du Preez , 2024
Michael Yuan and Tony Yuan , 2024
1 2 3 13
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