
Practical Machine Learning for Computer Vision
Valliappa Lakshmanan, Martin Görner, Ryan Gillard
Published 2021
212 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 2021.

Valliappa Lakshmanan, Martin Görner, Ryan Gillard
Published 2021
212 pages

Drew Hodun, Rui Santos Costa
Published 2021
284 pages

Boyan Angelov, Rick J. Scavetta
Published 2021
275 pages

Martin Schwirn
Published 2021
224 pages

Elias Dabbas
Published 2021
364 pages

George Mount
Published 2021
250 pages

Paul Azunre
Published 2021
272 pages

Daniel Nichter
Published 2021
541 pages

Mikhail Zhilkin
Published 2021
178 pages

Alexey Grigorev
Published 2021
472 pages

Stanley H. Chan
Published 2021
704 pages

François Voron
Published 2021
426 pages

Michael Law, Amy Collins
Published 2021
432 pages

Lee Stemkoski, Michael Pascale
Published 2021
334 pages

Sergio Consoli, Diego Reforgiato Recupero, Michaela Saisana
Published 2021
355 pages

Dale Lane
Published 2021
392 pages

Ashish Ranjan Jha, Gopinath Pillai
2021 · 2023 edition
538 pages

Luca Zavarella
2021 · 2024 edition
814 pages

Hamid Mahmood Qureshi, Hammad Sharif
Published 2021
330 pages

Greg Rafferty
Published 2021
270 pages

Kenneth Field
Published 2021
432 pages

Yves Hilpisch
Published 2021
298 pages

Jiri Pik, Sourav Ghosh
Published 2021
360 pages

Ronald T. Kneusel
Published 2021
464 pages