Raschka, Sebastian, and Vahid Mirjalili.Python Machine Learning, 3rd Ed. Packt Publishing, 2019. @book{RaschkaMirjalili2019, address = {Birmingham, UK}, author = {Raschka, Sebastian and Mirjalili, Vahid}, edition = {3}, isbn = {978-1789955750}, publisher = {Packt Publishing}, title = {{...
Cosmic Python:以python方式的应用程序架构模式来管理复杂性,O'Reilly的免费书籍! (https://github.com/cosmicpython/book) Python机器学习:该库包含经典的机器学习教程的Notebook代码。 (https://github.com/rasbt/python-machine-learning-book-3rd-edition) 3、面试问题 Python经典编程面试题:经典的Python编程面试问...
Python 黑魔法手册:专门介绍 Python 黑魔法玩法的文档https://github.com/iswbm/magic-python Python机器学习:该库包含经典的机器学习教程的Notebook代码。https://github.com/rasbt/python-machine-learning-book-3rd-edition 面试问题 Python经典编程面试题:经典的Python编程面试问题集,请不要作弊!https://github.com/...
Python Machine Learning (2nd Ed.) Code Repository Please note that a new edition (3rd edition) is now available as of December 2019. The code repository link for the 3rd edition ishttps://github.com/rasbt/python-machine-learning-book-3rd-edition. ...
(https://github.com/swaroopch/byte-of-python) Cosmic Python:以python方式的应用程序架构模式来管理复杂性,O'Reilly的免费书籍! (https://github.com/cosmicpython/book) Python机器学习:该库包含经典的机器学习教程的Notebook代码。 (https://github.com/rasbt/python-machine-learning-book-3rd-edition) ...
STABLE - Azure Machine Learning SDK for Python 概述 azureml.core.environment.DockerBuildContext azureml.core.environment.DockerEnvironment azureml.core.environment.DockerImageDetails azureml.core.environment.DockerImagePlatform azureml.core.environment.DockerSection ...
仓库链接:Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow (3rd Edition) 简介:这是《Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow》的第三版,包含了最新的代码示例和项目。 适用场景:适合那些希望通过实践来深入学习机器学习技术的初学者。
azureml-contrib-reinforcementlearning azureml-contrib-services 下載PDF Learn Python SDK 參考 azureml-core azureml.core.environment 閱讀英文 TwitterLinkedInFacebook電子郵件 參考 定義要安裝的 Github 套件。 類別RGitHubPackage 建構函式。 繼承 azureml._base_sdk_common.abstract_run_config_element._AbstractRu...
Artificial Intelligence for Games (3rd Edition): 这本书由Ian Millington撰写,涵盖了游戏AI的基础知识和高级技术。 访问链接:Artificial Intelligence for Games Berkeley AI Research (BAIR): 加州大学伯克利分校的AI研究小组,提供了许多关于AI研究的资源和教程。
Cosmic Python:以python方式的应用程序架构模式来管理复杂性,O'Reilly的免费书籍! (https://github.com/cosmicpython/book) Python机器学习:该库包含经典的机器学习教程的Notebook代码。 (https://github.com/rasbt/python-machine-learning-book-3rd-edition) ...