
Introduction to Data Governance for Machine Learning Systems: Fundamental Principles, Critical Practices, and Future Trends
Introduction to Data Governance for Machine Learning Systems: Fundamental Principles, Critical Practices, and Future Tre...
Introduction to Data Governance for Machine Learning Systems: Fundamental Principles, Critical Practices, and Future Tre...
15 Math Concepts Every Data Scientist Should Know: Understand and learn how to apply the math behind data science algori...
The Deep Learning Revolution (Mit Press) Author:by Terrence J. Sejnowski (Author) Publisher finelybook 出版社:The MIT Pres...
Efficient Algorithm Design: Unlock the power of algorithms to optimize computer programming Author:by Masoud Makrehchi (...
Learning Microeconometrics with R (Chapman & Hall/CRC The R Series) Author:by Christopher P. Adams (Author) Publish...
Artificial Intelligence and Actuarial Science: Applications and Case Studies from Finance and Insurance Author:by Sonal ...
AI Product Manager’s Handbook: Build, integrate, scale, and optimize products to grow as an AI product manager Aut...
Privacy in Vehicular Networks: Challenges and Solutions Author:by Baihe Ma (Author), Xu Wang (Author), Wei Ni (Author), ...
Fixed Point Optimization Algorithms and Their Applications (Advanced Studies in Complex Systems) Author:by Watcharaporn ...
Intelligent Robots and Cobots: Industry 5.0 Applications (Industry 5.0 Transformation Applications) Author:by V. Ramasam...