
MLOps Engineering at Scale
Carl Osipov
Published 2022
344 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.

Carl Osipov
Published 2022
344 pages

Shirin Mojarad
Published 2022
240 pages

Scott Burk, Gary D. Miner
Published 2022
122 pages

Peter A. Hall, Patricio Dávila
Published 2022
256 pages

Ronald Meester, Klaas Slooten
Published 2022
184 pages

Elsevier
Published 2022
272 pages

Jayanth Kumar M J
Published 2022
280 pages

Sylvain Parasie
Published 2022
299 pages

Elizabeth CLARKE
Published 2022
148 pages

Ira J. Haimowitz
Published 2022
178 pages

JC Gillet, Sumit Gupta, Sylvester Pinto, Shweta Sankhe-Savale, Kenneth Michael Cherven
Published 2022
822 pages

Anthony Davis, Travis Baptiste, Craig Russell, Ryan Stunkel
Published 2022
370 pages

Logan Song
Published 2022
330 pages

Laura Sebastian-Coleman
Published 2022
352 pages

Liam Bee
Published 2022
436 pages

Jian Pei, Liang Zhao, Lingfei Wu, Peng Cui
2022 · 2023 edition
689 pages

Jonathan S. Gagliardi
Published 2022
232 pages

Jessica Megan Larson
Published 2022
246 pages

Dhabaleswar K. Panda, Xiaoyi Lu, Dipti Shankar
Published 2022
272 pages

Jerry Swan, Eric Nivel, Neel Kant, Jules Hedges, Timothy Atkinson, Bas Steunebrink
Published 2022
136 pages

Wayne Holmes, Kaśka Porayska-Pomsta
Published 2022
312 pages

Cameron Dodd
Published 2022
370 pages

Mary-Jo Diepeveen
Published 2022
348 pages

Bhavik Merchant
Published 2022
312 pages