说明：  机器学习正在迅速成为数据驱动型世界的一个必备模块。许多不同的领域如机器人、 医学、零售和出版等，都需要依赖这门技术。在这本书中，你将学习如何一步步构建真实 的机器学习应用程序。 通过易于理解的项目，你将学习如何处理各种类型的数据，如何以及何时应用不同的 机器学习技术，包括监督学习和无监督学习。 本书中的每个项目都同时提供了教学和实践。例如，你将学习如何使用聚类技术来发 现低价的机票，以及如何使用线性回归找到一间便宜的公寓。本书以通俗易懂、简洁明了 的方式，教你如何使用机器学习来收集、分析并操作大量的数据。
(Machine learning is rapidly becoming an essential module in the data-driven world. Many different areas, like robotics Medicine, retail and publishing all need to rely on this technology. In this book, you will learn how to build reality step by step Machine learning applications. Through easy to understand projects, you'll learn how to process various types of data, how and when to apply different ones Machine learning technology includes supervised learning and unsupervised learning. Each project in this book provides both teaching and practice. For example, you will learn how to use clustering techniques to send How to use linear regression to find a cheap apartment. This book is easy to understand, concise and clear How to use machine learning to collect, analyze and manipulate large amounts of data.)