Data Science Resources

data-science-resources.md

Data Science Resources

What is Data Science?

Kaggle Wiki - some resources come from here.

ML:

• Learning From Data @ Caltech
• Machine Learning @ Stanford
• Machine Learning for Hackers
  • Code that comes with the book

Statistics:

• Introduction to Statistics @ Udacity
• The Elements of Statistical Learning: Data Mining, Inference, and Prediction
• Think Stats: Probability and Statistics for Programmers
  • Setting up your Python environment for Think Stats
• Open Intro Statistics

AI:

• Artificial Intelligence: Programming a Robotic Car @ Udacity
• Artificial Intelligence. A Modern Approach

NLP:

• Natural Language Processing with Python

Data Mining:

• Mining Massive Data Sets @ Stanford
  • Mining of Massive Datasets

Data Analysis:

• Python for Data Analysis
• Software for Data Analysis: Programming with R
• Computing for Data Analysis @ John Hopkins
• Data Analysis @ John Hopkins

Hadoop:

• Cloudera
• Cloudera Hadoop Training Videos
• Cloudera's Hadoop Demo VM
• Big Data University
• Running Hadoop on Ubuntu Linux(Single-Node Cluster)
• Hadoop Tutorial Series
• Hadoop: The Definitive Guide

Papers:

• Leakage in Data Mining: Formulation, Detection, and Avoidance
• On Discriminative vs Generative Classifiers

Blogs:

• Kaggle Community Blogs
• Simply Statistics
• Doing Bayesian Data Analysis
• John Myles White
• Zero Intelligence Agents

Misc:

• Algorithms
• Tutorials
• Data Science Toolkit
• Data Science as a Sport
• Very concise notes on ML and Statistics
• Where can I get large datasets open to the public?
• How do I become a data scientist?
• Python Packages for Data Analysis and related work

Sub-reddits:

• OpenData - open APIs and datasets
• Datasets for Data Mining, Analytics and Knowledge Discovery
• Content analysis and visualization
• Statistical theory, software and application
• Machine Learning
• Data Science
• Statistics and Data Analysis with R
• Scientific/numerical/high performance/quantitative computing and/or analysis using SciPy
• Natural Language Processing
• Rational Thinking in philosohpy, thought experiments, debates and academic research
• Hadoop

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