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abagail

The library contains a number of interconnected Java packages that implement machine learning and artificial intelligence algorithms. These are artificial intelligence algorithms implemented for the kind of people that like to implement algorithms themselves.

courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

cs7641

Code for Machine Leaning course at Geogia Tech

datasci_course_materials

Public repository for course materials for the Spring 2013 session of Introduction to Data Science, an online coursera course.

learn-javascript

JavaScript全栈教程参考源码→ http://t.cn/R2Elz3O 赞助→ http://t.cn/R5bhVpf

notesofdjangobook

NotesOfDjangoBook

oms6250-2015-fall

omscs-cs7641-machine-learning-assignment-4

I am open sourcing the boiler plate code necessary for Assignment 4 so we can focus on the analysis instead.

pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

reinforcement-learning-an-introduction

Python code for Reinforcement Learning: An Introduction

working-with-big-data

Slides, code, and supplemental materials for the LiveLesson: Working with Big Data: Infrastructure, Algorithms, and Visualizations