30-Second Data Science
Liberty Vittert
Published 2020
160 pages
The most popular data science books of 2020
Data science books show you how to learn from data. Statistics, databases, visualization and machine learning are taught through practical examples, usually with code. Beginners will find gentle introductions and working analysts will find deeper references. Good reading for a career change, too. This list shows the ones first published in 2020.
Results
Deep Learning for Vision Systems
Mohamed Elgendy
Published 2020
480 pages
Data Literacy Fundamentals Understanding the Power & Value of Data
Ben Jones, Kelsey O'Donnell
2020 · 2025 edition
308 pages
Machine Learning for Algorithmic Trading
Stefan Jansen
Published 2020
820 pages
Analytical Skills for AI and Data Science Building Skills for an AI-driven Enterprise
Daniel Vaughan
Published 2020
228 pages
The Self-Service Data Roadmap
Sandeep Uttamchandani
Published 2020
321 pages
Lean AI How Innovative Startups Use Artificial Intelligence to Grow
Lomit Patel
Published 2020
217 pages
The Practitioner's Guide to Graph Data Applying Graph Thinking and Graph Technologies to Solve Complex Problems
Matthias Broecheler, Denise Gosnell
Published 2020
397 pages
Building Machine Learning Pipelines
Hannes Hapke, Catherine Nelson
Published 2020
609 pages
Telling Your Data Story
Scott Taylor
2020 · 2023 edition
194 pages
Hands-On Gradient Boosting with XGBoost and scikit-learn
Corey Wade
Published 2020
310 pages
Spark in Action, Second Edition Covers Apache Spark 3 with Examples in Java, Python, and Scala
Jean-Georges Perrin
Published 2020
576 pages
Graph Representation Learning
William L. William L. Hamilton
Published 2020
159 pages
Kubeflow for Machine Learning
Holden Karau, Trevor Grant, Ilan Filonenko, Richard Liu, Boris Lublinsky
Published 2020
264 pages
Semantic Modeling for Data
Panos Alexopoulos
Published 2020
330 pages
Codeless Data Structures and Algorithms
Armstrong Subero
Published 2020
159 pages
Grokking Deep Reinforcement Learning
Miguel Morales
Published 2020
472 pages
Data Engineering with Python
Paul Crickard
Published 2020
356 pages
Programming Machine Learning
Paolo Perrotta
Published 2020
475 pages
Data Scientist Bedside Manner
Zacharias Voulgaris, Yunus Emrah Bulut
Published 2020
Fighting Churn with Data
Carl Gold
Published 2020
504 pages
Presto
Matt Fuller, Manfred Moser, Martin Traverso
Published 2020
310 pages
Deep Reinforcement Learning in Action
Alexander Zai, Brandon Brown
Published 2020
325 pages
Zero to AI A non-technical, hype-free guide to prospering in the AI era
Nicolò Valigi, Gianluca Mauro
Published 2020
264 pages