标签：Learning 第2页

Deep Reinforcement Learning with Python: With PyTorch, TensorFlow and OpenAI Gym Author(s): Nimish Sanghi (Author) Publi...

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

100 C++ Mistakes and How to Avoid Them Author(s): Rich Yonts (Author) Publisher: Manning Publication Date: March 25, 202...

DevOps: Frameworks, Techniques, and Tools – A DevOps Guide That Will Transform Your Development Lifecycle with Practical...

Bayesian Methods for Hackers: Probabilistic Programming and Bayesian Inference Author(s): Cameron Davidson-Pilon (Author...

Computer Science From Scratch: Building Interpreters, Art, Emulators and ML in Python Author: David Kopec (Author) Publi...

Designing Electronics That Work: Real-World Hardware Development Author(s): Hunter Scott (Author) Publisher: No Starch P...

Java Cookbook: Problems and Solutions for Java Developers Author(s): Ian F. Darwin (Author) Publisher: O'Reilly Media Pu...

The StatQuest Illustrated Guide To Machine Learning Author(s): Josh Starmer PhD (Author) Publisher: Independently publis...

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