说明：  机器学习是人工智能研究领域中的一个极其重要的方向。在现今大数据时代的背景下，捕获数据并从中萃取有价值的信息或模式，使得这一过去为分析师与数学家所专属的研究领域越来越为人们瞩目。本书通过精心编排的实例，切入日常工作任务，摒弃学术化语言，利用高效可复用的Python 代码阐释如何处理统计数据，进行数据分析及可视化。读者可从中学到一些核心的机器学习算法，并将其运用于某些策略性任务中，如分类、预测及推荐等。
(Machine learning is an extremely important direction in the field of artificial intelligence research. In the context of the current era of big data, capturing data and extracting valuable information or patterns from it has made this research area that was exclusive to analysts and mathematicians more and more attractive. Through well-organized examples, this book cuts into daily work tasks, abandons academic languages, and uses efficient and reusable Python code to explain how to process statistical data, perform data analysis and visualization. Readers can learn some core machine learning algorithms and apply them to certain strategic tasks, such as classification, prediction, and recommendation.)