Your Face Belongs to Us The Secretive Startup Dismantling Your Privacy
Kashmir Hill
2023 · 2024 edition
330 pages
The most popular data science books of 2023
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.
Results
End Times Elites, Counter-Elites, and the Path of Political Disintegration
Peter Turchin
Published 2023
368 pages
How Data Happened A History from the Age of Reason to the Age of Algorithms
Chris Wiggins, Matthew L. Jones
Published 2023
336 pages
Practicing Trustworthy Machine Learning Consistent, Transparent, and Fair AI Pipelines
Yada Pruksachatkun, Matthew Mcateer, Subhabrata Majumdar, Subho Majumdar, Subho Mjumdar
Published 2023
274 pages
All-In on AI How Smart Companies Win Big with Artificial Intelligence
Thomas H. Davenport, Nitin Mittal
Published 2023
216 pages
The Year in Tech, 2024
Harvard Business Review, Richard Florida, David De Cremer, Nita A. Farahany, Ethan Mollick
2023 · 2024 edition
176 pages
Meganets How Digital Forces Beyond Our Control Commandeer Our Daily Lives and Inner Realities
David B. Auerbach
Published 2023
339 pages
Product Operations How Successful Companies Build Better Products at Scale
Melissa Perri, Denise Tilles
Published 2023
262 pages
Putting Ourselves Back in the Equation Why Physicists Are Studying Human Consciousness and AI to Unravel the Mysteries of the Universe
George Musser
2023 · 2024 edition
336 pages
The Datapreneurs The Promise of AI and the Creators Building Our Future
Bob Muglia, Steve Hamm
Published 2023
168 pages
Creating Software with Modern Diagramming Techniques Build Better Software with Mermaid
Ashley Peacock
Published 2023
158 pages
Developing Apps with GPT-4 and ChatGPT Build Intelligent Chatbots, Content Generators, and More
Olivier Caelen, Marie-Alice Blete
Published 2023
155 pages
Talent Disruption - People Are the Brands How Hospitality Competes in a Turbulent World
Alexander Mirza
Published 2023
240 pages
HBR's 10 Must Reads on AI (with Bonus Article How to Win with Machine Learning by Ajay Agrawal, Joshua Gans, and Avi Goldfarb)
Harvard Business Review, Thomas H. Davenport, Marco Iansiti, Tsedal Neeley, Ajay Agrawal
Published 2023
176 pages
How AI Works From Sorcery to Science
Ronald T. Kneusel
Published 2023
192 pages
Machine Learning Interviews
Susan Shu Chang
2023 · 2024 edition
307 pages
Beyond Data Reclaiming Human Rights at the Dawn of the Metaverse
Elizabeth M. Renieris
Published 2023
240 pages
Understanding Deep Learning
Simon J. D. Prince
Published 2023
544 pages
The AI Product Manager's Handbook Develop a Product That Takes Advantage of Machine Learning to Solve AI Problems
Irene Bratsis
Published 2023
250 pages
Data Mesh in Action
Jacek Majchrzak, Sven Balnojan, Marian Siwiak
Published 2023
300 pages
Generative AI for Leaders
Amir Husain
Published 2023
162 pages
Generative AI on AWS Building Context-aware Multimodal Reasoning Applications
Chris Fregly, Antje Barth, Shelbee Eeigenbrode
Published 2023
289 pages
Experimentation for Engineers From A/B Testing to Bayesian Optimization
David Sweet
Published 2023
248 pages
The Little Learner A Straight Line to Deep Learning
Daniel P. Friedman, Anurag Mendhekar
Published 2023
440 pages