Data Science books

manning.com / catalog / Data Science
Chapters written by Valerii Babushkin, Arseny Kravchenko, Ville Tuulos, Benjamin Tan Wei Hao, Shanoop Padmanabhan, Varun Mallya, Chi Wang, Donald Szeto , 2026
Boni García , 2026
Harshwardhan Fartale , 2026
Gary Sutton , 2026
Amit Bahree and Weehyong Tok , 2026
Pere Martra , 2026
(1)
Taehun Kim , 2026
(1)
Engin Bozdag and Stefano Bennati , 2026
Michael Yuan and Tony Yuan , 2026
Panos Alexopoulos , 2026
Hari Krishnan , 2026
Micheal Lanham , 2026
Luca Belli , 2026
Peter Belcak , 2026
Jia Huang , 2026
Val Andrei Fajardo , 2026
Serj Smorodinsky and Brett Kennedy , 2026
Leemay Nassery , 2026
Suhas Suresha and Dewang Sultania , 2026
SungHwan Yun , 2026
Tomasz Lelek and Artur Skowroński , 2026
(1)
Quan Nguyen , 2026
Anjali Jain and Philip O'Shaughnessy , 2026
Kim Falk , 2026
(4)
Noah Flynn , 2026
Matthew Berman, Nicholas Wentz, and Angelica Lo Duca , 2026
Vivek Kalyanarangan , 2026
(2)
Rush Shahani , 2026
(9)
Sebastian Raschka , 2026
Greg Biegel , 2026
Zachary Huang , 2026
Michael Yuan and Tony Yuan , 2026
Michael Yuan and Tony Yuan , 2026
(1)
Nathan Lambert
Foreword by Thomas Wolf
, 2026
(1)
Hadi Aghazadeh , 2026
Elliot Arledge , 2026
Michael Yuan and Tony Yuan , 2026
Walid Amamou and Alessandro Negro , 2026
(1)
Jungjun Hur and Younghee Song , 2026
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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