alizeefr / go Goto Github PK

Intro to Data Science / UW Videos

• Topics: Python NLP on Twitter API, Distributed Computing Paradigm, MapReduce/Hadoop & Pig Script, SQL/NoSQL, Relational Algebra, Experiment design, Statistics, Graphs, Amazon EC2, Visualization.

Data Science / Harvard Videos & Course

• Topics: Data wrangling, data management, exploratory data analysis to generate hypotheses and intuition, prediction based on statistical methods such as regression and classification, communication of results through visualization, stories, and summaries.

Data Science with Open Source Tools Book $27

• Topics: Visualizing Data, Estimation, Models from Scaling Arguments, Arguments from Probability Models, What you Really Need to Know about Classical Statistics, Data Mining, Clustering, PCA, Map/Reduce, Predictive Analytics
• Example Code in: R, Python, Sage, C, Gnu Scientific Library

Human impact is a first-class concern when building machine intelligence technology. When we build products, we deduce patterns and then reinforce them in the world. Ethics in any Engineering concerns understanding the sociotechnological impact of the products and services we are bringing to bear in the human world -- and whether they are reinforcing a future we all want to live in.

• Index: Cultural Bias in Machine Intelligence

• What are some good resources for learning about numerical analysis? / Quora

• Linear Algebra Khan Academy / Videos
• Linear Algebra / Levandosky Stanford / Book $10
• Linear Programming (Math 407) University of Washington / Course
• The Manga Guide to Linear Algebra Book $19
• An Intuitive Guide to Linear Algebra Better Explained / Article
• A Programmer's Intuition for Matrix Multiplication Better Explained / Article
• Vector Calculus: Understanding the Cross Product Better Explained / Article
• Vector Calculus: Understanding the Dot Product Better Explained / Article

• Convex Optimization / Boyd Stanford / Lectures / Book

• Stats in a Nutshell Book $29
• Think Stats: Probability and Statistics for Programmers Digital & Book $25
• Think Bayes Digital & Book $25

• Differential Equations in Data Science Python Tutorial

• Problem-Solving Heuristics "How To Solve It" Polya / Book $10

• *See Intro to Data Science UW / Lectures on MapReduce
• Intro to Hadoop and MapReduce Cloudera / Udacity Course *includes select free excerpts of Hadoop: The Definitive Guide Book $29

• Introduction to Databases Stanford / Online Course
• SQL School Mode Analytics / Tutorials
• SQL Tutorials SQLZOO / Tutorials

• Mining Massive Data Sets / Stanford Coursera & Digital & Book $58
• Mining The Social Web Book $30
• Introduction to Information Retrieval / Stanford Digital & Book $56

How does the real world get translated into data? How should one structure that data to make it understandable and usable? Extends beyond database design to usability of schemas and models.

• Tidy Data in Python

OSDSM Specialization: Web Scraping & Crawling

Foundational & Theoretical

• Machine Learning Ng Stanford / Coursera & Stanford CS 229
• A Course in Machine Learning UMD / Digital Book
• The Elements of Statistical Learning / Stanford Digital & Book $80 & Study Group
• Machine Learning Caltech / Edx

Practical

• Programming Collective Intelligence Book $27
• Machine Learning for Hackers ipynb / digital book
• Intro to scikit-learn, SciPy2013 youtube tutorials

• Probabilistic Programming and Bayesian Methods for Hackers Github / Tutorials
• Probabilistic Graphical Models Stanford / Coursera

• Neural Networks Andrej Karpathy / Python Walkthrough
• Neural Networks U Toronto / Coursera
• Deep Learning for Natural Language Processing CS224d Stanford

• Social and Economic Networks: Models and Analysis / Stanford / Coursera
• Social Network Analysis for Startups Book $22

• From Languages to Information / Stanford CS147 Materials
• NLP with Python (NLTK library) Digital, Book $36
• How to Write a Spelling Correcter / Norvig (Tutorial)[http://norvig.com/spell-correct.html]

One of the "unteachable" skills of data science is an intuition for analysis. What constitutes valuable, achievable, and well-designed analysis is extremely dependent on context and ends at hand.

• Big Data Analysis with Twitter UC Berkeley / Lectures
• Exploratory Data Analysis Tukey / Book $81

• Data Analysis in Python Tutorial
• Python for Data Analysis Book $24
• An Example Data Science Process ipynb

• The Life of a Data Scientist / Josh Wills
• The Talking Machines - Podcast about Machine Learning
• What Data Science Is / Hilary Mason

• Data Science in IPython Notebooks (Linear Regression, Logistic Regression, Random Forests, K-Means Clustering)
• A Gallery of Interesting IPython Notebooks - Pandas for Data Analysis

• Doing Data Science: Straight Talk from the Frontline O'Reilly / Book $25
• The Data Science Handbook: Advice and Insights from 25 Amazing Data Scientists Book $22