
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...

Multi-Agent Machine Learning: A Reinforcement Approach Author(s): H. M. Schwartz (Author) Publisher finelybook 出版社: Wile...

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

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...

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

Introducing Machine Learning (Developer Reference) Author(s): Dino Esposito (Author), Francesco Esposito (Author) Publis...

The StatQuest Illustrated Guide To Machine Learning Author(s): Josh Starmer PhD (Author) Publisher finelybook 出版社: Indep...

Programming Neural Networks with Python: Your Practical Guide to Building Smart AI Systems with Machine Learning and Dee...

Advancing Innovation through AI and Machine Learning Algorithms Author(s): Udara Yedukondalu (Editor), V Vijayasri Bolis...