Using machine learning to gain deeper insights from data is a key skill required by modern application developers and analysts alike. Python is a wonderful language to develop machine learning applications. As a dynamic language, it allows for fast exploration and experimentation. With its excellent collection of open source machine learning libraries you can focus on the task at hand while being able to quickly try out many ideas. This book shows you exactly how to find patterns in your raw data. You will start by brushing up on your Python machine learning knowledge and introducing libraries. You'll quickly get to grips with serious, real-world projects on datasets, using modeling, creating recommendation systems. Later on, the book covers advanced topics such as topic modeling, basket analysis, and cloud computing. These will extend your abilities and enable you to create large complex systems.

使用机器学习从数据中获得更深入的洞察力是现代应用程序开发人员和分析师都需要的一项关键技能。Python是一种开发机器学习应用程序的绝佳语言。作为一种动态语言，它允许快速探索和实验。凭借其优秀的开源机器学习库集合，你可以专注于手头的工作，同时能够快速尝试许多想法。本书准确地告诉你如何在你的原始数据中找到模式。你将从刷新你的Python机器学习知识和介绍库开始。你会很快掌握关于数据集、使用建模、创建推荐系统的严肃的、真实世界的项目。后来，本书涵盖了高级主题，如主题建模、篮子分析和云计算。这些将扩展你的能力，使你能够创建大型复杂系统。