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aas

Code to accompany Advanced Analytics with Spark from O'Reilly Media

amea-big-data-group-

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

awesome-deep-learning-papers

The most cited deep learning papers

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

awesome-public-datasets

An awesome list of (large-scale) public datasets on the Internet. (On-going collection)

awesome-tensorflow

TensorFlow - A curated list of dedicated resources http://tensorflow.org

big_data_science

This is for big data course on coursera.

bigdata

bitcoin-arbitrage

Bitcoin arbitrage - opportunity detector

caffe

Caffe: a fast open framework for deep learning.

cheatsheets-ai

Essential Cheat Sheets for deep learning and machine learning researchers

ci2

clojure-koans

A set of exercises for learning Clojure

cloud-computing

coding-questions

:book: Coding interview questions with solutions (C++) from top IT companies and hot startups

commoncrawl

CommonCrawl Project Repository

concourse

ConcourseDB is a self-tuning database that dynamically adapts to your application. Whether you’re just getting started, adding new features, or scaling out, Concourse provides tools like automatic indexing, version control and distributed ACID transactions as part of a big data platform that manages itself and reduces operational costs.

coursera-getting-and-cleaning-data

Repo for Coursera.com online course: Getting and Cleaning Data

courseracodesamplesreactiveprogramming

courses

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

cs224d

Deep Learning for Natural Language Processing in Stanford

cscinsuranceindex

csc omnichannel insurance index - Research

data

Data and code behind the stories and interactives at FiveThirtyEight

data-science-45min-intros

Ipython notebook presentations for getting starting with basic programming, statistics and machine learning techniques

data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

datasci_course_materials

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

datasciencecoursera

This repository will be used for data science course conducted by John Hopkins University

datasciencespcoursenotes

Compiled Notes for all 9 courses in the Coursera Data Science Specialization

dataset-examples

Samples for users of the Yelp Academic Dataset