
Machine Learning from Weak Supervision: An Empirical Risk Minimization Approach
Machine Learning from Weak Supervision: An Empirical Risk Minimization Approach (Adaptive Computation and Machine Learni...

Machine Learning from Weak Supervision: An Empirical Risk Minimization Approach (Adaptive Computation and Machine Learni...

Machine Learning Refined: Foundations, Algorithms, and Applications Author(s): Jeremy Watt (Author), Reza Borhani (Autho...

"Looks Good To Me": Constructive code reviews Author(s): Adrienne Braganza (Author) Publisher: Manning Publication Date:...

Statistics for Data Scientists and Analysts: Statistical approach to data-driven decision making using Python (English E...

Machine Learning for Business Analytics: Concepts, Techniques and Applications with JMP Pro Author(s): Galit Shmueli (Au...

Foundations of Machine Learning, second edition (Adaptive Computation and Machine Learning series) Author(s): Mehryar Mo...

Introduction to Cryptography with Coding Theory Author(s): Wade Trappe (Author), Lawrence Washington (Author) Publisher:...

Machine Learning for Kids: A Project-Based Introduction to Artificial Intelligence Author(s): Dale Lane (Author) Publish...

Math Learning Strategies: How Parents and Teachers Can Help Kids Excel in Math Author(s): Teruni Lamberg (Author) Publis...

Model-Based Reinforcement Learning: From Data to Continuous Actions with a Python-based Toolbox (IEEE Press Series on Co...