Introduction to Machine Learning with Python

这不是一本教你推导公式的机器学习教材，而是一座通往实践的桥。全书以scikit-learn为唯一主线，把监督学习、无监督学习、特征工程、模型评估、Pipeline等主流环节串成一条可落地的操作链，目标明确：让零数学、零AI背景的程序员也能把常见模型跑起来、调对参数，成为一名合格的

Andreas Mueller is a lecturer at the Data Science Institute at Columbia University and author of the O'Reilly book "Introduction to machine learning with Python", describing a practical approach to machine learning with python and scikit-learn. He is one of the core developers of the scikit-learn machine learning library, and has been co-maintaining it for several years. He is also a Software Carpentry instructor. In the past, Andreas Mueller worked at the NYU Center for Data Science on open source and open science, and as Machine Learning Scientist at Amazon