Title: ?????????: Chinese Edition, Author: Posts & Telecom Press
Title: ????????(R???): Chinese Edition, Author: Posts & Telecom Press
Title: ?Python?????(?2?): Chinese Edition, Author: Posts & Telecom Press
Title: Python????????????: Chinese Edition, Author: Posts & Telecom Press
Title: ????:?????????: Chinese Edition, Author: Posts & Telecom Press
Title: Deep Learning with JAX, Author: Grigory Sapunov
Title: TensorFlow Developer Certification Guide: Crack Google's official exam on getting skilled with managing production-grade ML models, Author: Patrick J
Title: Machine Learning für Softwareentwickler: Von der Python-Codezeile zur Deep-Learning-Anwendung, Author: Paolo Perrotta
Title: Python????(?2?): Chinese Edition, Author: Posts & Telecom Press
Title: Python????????: Chinese Edition, Author: Posts & Telecom Press
Title: Artificial Intelligence By Example: Develop machine intelligence from scratch using real artificial intelligence use cases, Author: Denis Rothman
Title: 10 Machine Learning Blueprints You Should Know for Cybersecurity: Protect your systems and boost your defenses with cutting-edge AI techniques, Author: Rajvardhan Oak
Title: Google JAX Cookbook: Perform machine learning and numerical computing with combined capabilities of TensorFlow and NumPy, Author: Zephyr Quent
Title: Deep Learning with R, Second Edition, Author: Francois Chollet
Title: Modern Computer Vision with PyTorch: Explore deep learning concepts and implement over 50 real-world image applications, Author: V Kishore Ayyadevara
Title: Python Reinforcement Learning: Solve complex real-world problems by mastering reinforcement learning algorithms using OpenAI Gym and TensorFlow, Author: Sudharsan Ravichandiran
Title: REVOLUTIONS OF SCIENTIFIC STRUCTURE, THE, Author: Colin G Hales
Title: Learning PyTorch 2.0, Author: Matthew Rosch
Title: Algorithmic Short Selling with Python: Refine your algorithmic trading edge, consistently generate investment ideas, and build a robust long/short product, Author: Laurent Bernut
Title: Deep Learning with MXNet Cookbook: Discover an extensive collection of recipes for creating and implementing AI models on MXNet, Author: Andrés P. Torres

Pagination Links