说明: Part 1: Classification 1 Machine learning basics 2 Classifying with k-nearest neighbors 3 Splitting datasets one feature at a time: decision trees 4 Classifying with probability distributions: Na�ve Bayes 5 Logistic regression 6 Support vector machi <shs867> 在 上传 | 大小:6291456
说明: Over the past two decades Machine Learning has become one of the mainstays of information technology and with that, a rather central, albeit usually hidden, part of our life. With the ever increasing amounts of data becoming available there is good <qq_40124410> 在 上传 | 大小:10485760
说明: Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems By 作者: Aurélien Géron <iorichang> 在 上传 | 大小:7340032