Practical Weak Supervision
Wee Hyong Tok, Amit Bahree, Senja Filipi
Published 2021
192 pages
The most popular data science books of 2021
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 2021.
Results
Data Pipelines Pocket Reference
James Densmore
Published 2021
276 pages
Cleaning Data for Effective Data Science
David Mertz
Published 2021
498 pages
The TensorFlow Workshop
Anthony Maddalone, Matthew Moocarme, Anthony So
Published 2021
600 pages
Tableau Strategies
Ann Jackson, Luke Stanke
Published 2021
578 pages
V-Ray 5 for 3ds Max 2020
Jamie Cardoso
Published 2021
836 pages
Machine Learning with Neural Networks
Bernhard Mehlig
Published 2021
262 pages
Product Analytics Applied Data Science Techniques for Actionable Consumer Insights
Joanne Rodrigues-Craig
Published 2021
448 pages
The GDPR Challenge
Published 2021
240 pages
The Atlas for the Aspiring Network Scientist
Michele Coscia
2021 · 2025 edition
790 pages
Data Lakes For Dummies
Alan R. Simon
Published 2021
384 pages
Using Microsoft Excel for Social Research
Charlotte Brookfield
Published 2021
208 pages
Data Model Storytelling An Agile Approach to Maximizing the Value of Data Management
Larry Burns
Published 2021
298 pages
Data Science for Business with R
Jeffrey S. Saltz, Jeffrey Morgan Stanton
Published 2021
424 pages
Infographic Design Visual Storytelling with Information and Data
SANDU
Published 2021
288 pages
Decision Intelligence For Dummies
Pamela Baker
2021 · 2022 edition
320 pages
Mobile Data Visualization
Bongshin Lee
Published 2021
321 pages
Deep Learning for Physics Research
Martin Erdmann
Published 2021
340 pages
Machine Learning Foundations Supervised, Unsupervised, and Advanced Learning
Taeho Jo
Published 2021
391 pages
Amazon Connect
Jeff Armstrong
Published 2021
338 pages
Amazon Redshift Cookbook Recipes for Building Modern Data Warehousing Solutions
Shruti Worlikar, Thiyagarajan Arumugam, Harshida Patel, Eugene Kawamoto
Published 2021
384 pages
Programming ML.NET
Dino Esposito
2021 · 2022 edition
256 pages
Advances and Open Problems in Federated Learning
Peter Kairouz, H. Brendan McMahan, Brendan Avent, Aurélien Bellet, Mehdi Bennis
Published 2021
224 pages
Between the Spreadsheets Classifying and Fixing Dirty Data
Susan Walsh
Published 2021
184 pages