
Practical Guide to Azure Cognitive Services Leverage the Power of Azure OpenAI to Optimize Operations, Reduce Costs, and Deliver Cutting-Edge AI Solutions
Chris Seferlis, Christopher Nellis, Andy Roberts
Published 2023
454 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 2023.

Chris Seferlis, Christopher Nellis, Andy Roberts
Published 2023
454 pages

Adam Ross Nelson
Published 2023
386 pages

Alex Antic, John K. Thompson
Published 2023
374 pages

Galit Shmueli, Peter C. Bruce, Mia L. Stephens, Muralidhara A, Nitin R. Patel
Published 2023
736 pages

Gareth Eagar Eagar
Published 2023
636 pages

Daragh O Brien, Katherine O'Keefe
Published 2023
400 pages

Joel Lawhead
Published 2023
432 pages

Greg Rafferty
Published 2023
282 pages

Duc Haba
Published 2023
394 pages

Chun-Wei Tsai, Ming-Chao Chiang
Published 2023
336 pages

Katharine Jarmul
Published 2023
346 pages

Akshay Kapoor
Published 2023
318 pages

Gláucia Esppenchutz
Published 2023
414 pages

Paul McCollum
Published 2023
336 pages

Nick Jewell
Published 2023
188 pages

Brad Flaugher
Published 2023
160 pages

Jacob Emerson
Published 2023
118 pages

Hubert Dulay, Stephen Mooney
Published 2023
210 pages

Joseph C. LaManna, Felix Scholkmann, Ursula Wolf
2023 · 2025 edition
240 pages

Christos Tjortjis
2023 · 2025 edition
180 pages

Panagiotis Vlamos
2023 · 2025 edition
673 pages

Afaf Bouhoute, Amina Adadi
2023 · 2025 edition
276 pages

Remys Trusty
2023 · 2025 edition
774 pages

Yiming Bie, Kun Gao, Robert J. Howlett, Lakhmi C. Jain
2023 · 2025 edition
242 pages