说明：  在如今这个处处以数据驱动的世界中，机器学习正变得越来越大众化。它已经被广泛地应用于不同领域，如搜索引擎、机器人、无人驾驶汽车等。Python机器学习经典实例首先通过实用的案例介绍机器学习的基础知识，然后介绍一些稍微复杂的机器学习算法，例如支持向量机、极端随机森林、隐马尔可夫模型、条件随机场、深度神经网络，等等。
(In today's data-driven world, machine learning is becoming more and more popular. It has been widely used in various fields, such as search engines, robots, driverless cars and so on. The classical examples of Python machine learning first introduce the basic knowledge of machine learning through practical cases, then introduce some slightly complex machine learning algorithms, such as support vector machine, extreme random forest, hidden Markov model, conditional random field, deep neural network, and so on.)