
Real-World Implementation of C# Design Patterns Overcome Daily Programming Challenges Using Elements of Reusable Object-Oriented Software
Bruce M. Van Horn II, Van Symons
Published 2022
442 pages
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.

Bruce M. Van Horn II, Van Symons
Published 2022
442 pages

Carmel Kent, Benedict du Boulay
Published 2022
104 pages

Angelo Cangelosi, Minoru Asada
Published 2022
496 pages

Rama Chellappa, Eric Niiler
Published 2022
224 pages

Samuel Huron, Till Nagel, Lora Oehlberg, Wesley Willett
Published 2022
392 pages

Neil Richards
Published 2022
336 pages

Sinan Ozdemir
Published 2022
272 pages

Kenneth J. Saltman
Published 2022
232 pages

Rosario Girasa, Gino J. Scalabrini
2022 · 2023 edition
236 pages

Elizabeth CLARKE
Published 2022
508 pages

Mark Edmondson
Published 2022
339 pages

Antonio Weiss
Published 2022
232 pages

Benjamin Jakobus, Pedro Henrique Lobato Sena, Claudio Souza
Published 2022
178 pages

Mike Reilley, Samantha Sunne
Published 2022
236 pages

Bridget Cogley, Vidya Setlur
Published 2022
336 pages

Dan Meador, Kevin Goldsmith
Published 2022
330 pages

Anindita Mahapatra, Doug May
Published 2022
334 pages

Alessia Falsarone
Published 2022
174 pages

Alexander Jung
2022 · 2023 edition
212 pages

John Horodyski
Published 2022
153 pages

Marcus Glowasz
Published 2022
342 pages

Dmitri Korotkevitch
Published 2022
477 pages

Tamraparni Dasu, Simon Urbanek
Published 2022
320 pages

Hamid D. Ismail, National Center for Biotechnology Information Staff
2022 · 2023 edition
330 pages