Learning Python 5th Edition （Python学习手册第五版）可复制粘贴，有目录 This fifth edition completed in 2013 is a revision of the prior, updated to cover both Python 3.3 and 2.7, the current latest releases in the 3.X and 2.X lines. It ncorporates all language changes introduced in each line since the prior edition was published, and has been polished throughout to update and sharpen its presentation. Specifically: • Python 2.X coverage here has been updated to include features such as dictionary and set comprehensions that were formerly for 3.X only, but have been back-ported for use in 2.7. • Python 3.X coverage has been augmented for new yield and raise syntax; the __pycache__ bytecode model; 3.3 namespace packages; PyDoc’s all-browser mode; Unicode literal and storage changes; and the new Windows launcher shipped with 3.3. • Assorted new or expanded coverage for JSON, timeit, PyPy, os.popen, generators, recursion, weak references, __mro__, __iter__, super, __slots__, metaclasses, descriptors,random, Sphinx, and more has been added, along with a general increase in 2.X compatibility in both examples and narrative.

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本书是关于在MATLAB中使用实例进行机器学习的综合指南。书中概述了人工智能与自动控制的历史；回顾了用于机器学习的商用软件包，并展示了它们如何应用于该领域；接着展示了如何使用MATLAB来解决机器学习问题，以及如何利用MATLAB图形技术来增强程序员对机器学习结果的理解。本书随书提供了机器学习中若干重要问题的MATLAB完整解决方案，包括飞机控制、人脸识别、自动驾驶。书中所有的示例和应用程序都提供了完整的源代码。

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