
Analytical Skills for AI and Data Science Building Skills for an AI-driven Enterprise
Daniel Vaughan
Published 2020
228 pages
Books on artificial intelligence explain machines that learn and reason. How the technology works, what it can and cannot do, and what it means for jobs, creativity and society are all explored. You will find clear introductions for general readers and technical texts for people building these systems. This list shows the ones first published in 2020.

Daniel Vaughan
Published 2020
228 pages

Sandeep Uttamchandani
Published 2020
321 pages

Lomit Patel
Published 2020
217 pages

Alexander Scott
Published 2020
374 pages

Matthias Broecheler, Denise Gosnell
Published 2020
397 pages

Hannes Hapke, Catherine Nelson
Published 2020
609 pages

Corey Wade, Kevin Glynn
Published 2020
310 pages

William L. Hamilton
Published 2020
159 pages

Daeyeol Lee
Published 2020
214 pages

Joanna Zylinska
Published 2020
176 pages

Holden Karau, Trevor Grant, Ilan Filonenko, Richard Liu, Boris Lublinsky
Published 2020
264 pages

Panos Alexopoulos
Published 2020
330 pages

George Zarkadakis, Don Tapscott
2020 · 2021 edition
216 pages

Miguel Morales
Published 2020
472 pages

Francesco Marconi
Published 2020
202 pages

Paolo Perrotta
Published 2020
475 pages

Stephen Cave
2020 · 2024 edition
448 pages

Eyal Wirsansky
Published 2020
346 pages

Abou Farman
Published 2020
336 pages

Gavin Lew, Robert M. Schumacher Jr.
Published 2020
222 pages

Christoph Bartneck, Christoph Lütge, Alan Wagner, Sean Welsh
Published 2020
117 pages

Carl Gold
Published 2020
504 pages

Yarden Katz
Published 2020
352 pages

Brandon Brown, Alexander Zai
Published 2020
325 pages