A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

This package contains a generic implementation of greedy Information Theoretic Feature Selection (FS) methods. The implementation is based on the common theoretic framework presented by Gavin Brown. Implementations of mRMR, InfoGain, JMI and other commonly used FS filters are provided.

PredictionIO, a machine learning server for developers and ML engineers. Built on Apache Spark, HBase and Spray.

PipelineAI: End-to-End ML and AI Platform for Real-time Spark and Tensorflow Data Pipelines

Example source code accompanying O'Reilly's "Hadoop: The Definitive Guide" by Tom White

practice coding a little bit

麻省理工公开课-线性代数-完整笔记

朴素贝叶斯 base_bayes ML hadoop

机器学习资源大全中文版，包括机器学习领域的框架、库以及软件

中文 Python 笔记