Data Science books

manning.com / catalog / Data Science
Kannupriya Kalra & Pavan Vamsi , 2026
Kannupriya Kalra & Pavan Vamsi , 2026
Kannupriya Kalra & Pavan Vamsi , 2026
(1)
Will Kurt , 2026
(2)
Rush Shahani , 2026
Ronnie Rahman , 2026
Ronnie Rahman , 2026
Ronnie Rahman , 2026
Ronnie Rahman , 2026
(6)
Noah Flynn , 2026
Ronnie Rahman , 2026
Ronnie Rahman , 2026
Luca Belli , 2026
Jeremie Charlet , 2026
Jeremie Charlet , 2026
Jeremie Charlet , 2026
Jeremie Charlet , 2026
Katya Gorshkova
Foreword by Viktor Gamov
, 2026
Tobias Zwingmann , 2026
Tobias Zwingmann , 2026
Tobias Zwingmann , 2026
Tobias Zwingmann , 2026
(4)
Richard Heimann , 2026
Raj Abhijit Dandekar, Rajat Dandekar, Sreedath Panat, Naman Dwivedi , 2025
(1)
Numa Dhamani and Maggie Engler
Foreword by Alice Hunsberger
, 2025
Jennifer Fu , 2025
(1)
Mark Liu , 2025
(4)
Guglielmo Iozzia , 2025
(3)
Marco Peixeiro , 2025
(6)
Craig Walls
Foreword by Rod Johnson
, 2025
(5)
Alessandro Negro with Vlastimil Kus, Giuseppe Futia and Fabio Montagna
Forewords by Maxime Labonne, Khalifeh AlJadda
, 2025
Leemay Nassery , 2025
(3)
Jeremy Morgan , 2025
(19)
François Chollet and Matthew Watson , 2025
(2)
Tyler Suard , 2025
(4)
Tomaž Bratanič and Oskar Hane
Foreword by Paco Nathan
, 2025
(1)
Ashish Ranjan Jha , 2025
(1)
Arek Borucki , 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