The most popular data science books of 2022

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 2022.

Results

Positive Unlabeled Learning
Cover of Positive Unlabeled Learning

Positive Unlabeled Learning

Hamed Mirzaei, Neda Rahimian, Hamid Reza Mirzaei, Javid Sadri Nahand, Michael R. Hamblin

Published 2022

134 pages

Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners’ and Doctoral Consortium 23rd International Conference, AIED 2022, Durham, UK, July 27–31, 2022, Proceedings, Part II
Cover of Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners’ and Doctoral Consortium 23rd International Conference, AIED 2022, Durham, UK, July 27–31, 2022, Proceedings, Part II

Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners’ and Doctoral Consortium 23rd International Conference, AIED 2022, Durham, UK, July 27–31, 2022, Proceedings, Part II

Maria Mercedes Rodrigo, Noburu Matsuda, Alexandra I. Cristea, Vania Dimitrova

Published 2022

638 pages