HBR’s 10 Must Reads on Technology and Strategy Collection (7 Books)
by Clayton M. Christensen, Harvard Business Review, Michael E. Porter, Rita Gunther McGrath, Thomas H. Davenport
- Length: 1408 pages
- Publication Date: 2020-12-08
Deep Reinforcement Learning with Python, 2nd Edition
- Length: 760 pages
- Publication Date: 2020-09-30
The Big R-Book: From Data Science to Learning Machines and Big Data
- Length: 928 pages
- Publication Date: 2020-10-27
Toward Human-Level Artificial Intelligence: Representation and Computation of Meaning in Natural Language
- Length: 384 pages
- Publication Date: 2019-11-13
Smarter Data Science: Succeeding with Enterprise-Grade Data and AI Projects
- Length: 304 pages
- Publication Date: 2020-06-03
Designing Digital Products for Kids: Deliver User Experiences That Delight Kids, Parents, and Teachers
- Length: 257 pages
- Publication Date: 2020-12-04
Learn Python: This Book Includes: Crash Course and Coding. A Guide to Master Python, Data Science and Analysis. Advanced Methods to Learn How to Create Codes with This Machine Learning Tool
by Eric Wall
- Length: 215 pages
- Publication Date: 2020-11-03
Statistics and Probability with Applications for Engineers and Scientists Using MINITAB, R and JMP, 2nd Edition
- Length: 1040 pages
- Publication Date: 2020-02-05
Frontiers in Hardware Security and Trust: Theory, design and practice
- Length: 448 pages
- Publication Date: 2020-12-07
Flexible and Cognitive Radio Access Technologies for 5G and Beyond
- Length: 680 pages
- Publication Date: 2020-10-22