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March 23, 2014 06:48
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Data Science Learning
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- [ ] Math | |
- [ ] Linear Algebra | |
- [ ] Lay - Linear Algebra | |
- [ ] 18.06 Linear Algebra | |
http://www.scotthyoung.com/blog/mit-challenge/#more-link1806 | |
- [ ] Burke Lecture Notes | |
http://www.math.washington.edu/~burke/crs/407/lectures/ | |
- [ ] Coding The Matrix | |
http://www.amazon.com/dp/0615880991/?tag=coursera-course198-20 | |
- [ ] Quantifying Uncertainty | |
http://ocw.mit.edu/courses/earth-atmospheric-and-planetary-sciences/12-s990-quantifying-uncertainty-fall-2012/index.htm | |
- [ ] Statistics | |
- [ ] Stats in a Nutshell | |
http://shop.oreilly.com/product/9780596510497.do | |
- [ ] Think Stats | |
http://greenteapress.com/thinkstats/ | |
- [ ] Think Bayes | |
http://www.greenteapress.com/thinkbayes/ | |
- [ ] Intro to Statistical Learning | |
http://www-bcf.usc.edu/~gareth/ISL/ISLR%20First%20Printing.pdf | |
- [ ] Forecasting: Principles and Practice | |
http://otexts.com/fpp/ | |
- [ ] Calculus refresher | |
- [ ] Problem Solving | |
https://notendur.hi.is/hei2/teaching/Polya_HowToSolveIt.pdf | |
- [ ] Computing | |
- [ ] Algorithms | |
- [ ] Introduction To Algorithms OCW | |
http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-006-introduction-to-algorithms-fall-2011/ | |
- [ ] https://www.coursera.org/course/algo | |
- [ ] https://www.coursera.org/course/algs4partII | |
- [ ] Algorithm Design Jon Kleinberg | |
http://www.amazon.com/Algorithm-Design-Jon-Kleinberg/dp/0321295358/ | |
- [ ] SICP | |
- [ ] Distributed Computing | |
- [ ] Distributed Computer Systems Engineering OCW | |
http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-824-distributed-computer-systems-engineering-spring-2006/ | |
- [ ] Distributed Algorithms OCW | |
http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-852j-distributed-algorithms-fall-2009/ | |
- [ ] Databases | |
- [ ] Cassandra | |
- [ ] Graph databases | |
- [ ] Riak | |
- [ ] HBase | |
- [ ] SQL Book | |
- [ ] Data Mining | |
- [ ] 15.062 Data Mining | |
http://ocw.mit.edu/courses/sloan-school-of-management/15-062-data-mining-spring-2003/index.htm | |
- [ ] Elements of Statistical Learning: Data Mining, Inference, and Prediction | |
http://www-stat.stanford.edu/~tibs/ElemStatLearn/ | |
- [ ] Mining Massive Data Sets | |
http://i.stanford.edu/~ullman/mmds.html | |
- [ ] Mining The Social Web | |
http://shop.oreilly.com/product/0636920010203.do | |
- [ ] Introduction to Information Retrieval | |
http://nlp.stanford.edu/IR-book/information-retrieval-book.html | |
- [ ] Artificial Intelligence | |
- [ ] AI Fall 2010 OCW | |
http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-034-artificial-intelligence-fall-2010/ | |
- [ ] Machine Learning | |
- [ ] https://www.coursera.org/course/ml | |
- [ ] Machine Learning MIT OCW | |
http://openclassroom.stanford.edu/MainFolder/CoursePage.php?course=MachineLearning | |
- [ ] Machine Vision OCW | |
http://www.scotthyoung.com/blog/mit-challenge/#more-link6801 | |
http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-801-machine-vision-fall-2004/ | |
- [ ] http://ocw.mit.edu/courses/sloan-school-of-management/15-097-prediction-machine-learning-and-statistics-spring-2012/ | |
- [ ] Bishop’s Pattern Recognition and ML | |
http://www.amazon.com/Pattern-Recognition-Learning-Information-Statistics/dp/0387310738/ref=sr_1_1?ie=UTF8&s=books&qid=1255235358&sr=8-1 | |
- [ ] Neural Networks | |
https://class.coursera.org/neuralnets-2012-001 | |
- [ ] Probabilistic Graphical Models | |
- [ ] https://github.com/CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers | |
- [ ] https://www.coursera.org/course/pgm | |
- [ ] Natural Language Processing | |
- [ ] Advanced NLP OCW | |
http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-864-advanced-natural-language-processing-fall-2005/ | |
- [ ] http://nltk.org/book/ | |
- [ ] Analysis | |
- [ ] Analyzing Big Data With Twitter | |
http://blogs.ischool.berkeley.edu/i290-abdt-s12/ | |
- [ ] Social and Economic Networks | |
https://www.coursera.org/course/networksonline | |
- [ ] Python for Data Analysis | |
http://shop.oreilly.com/product/0636920023784.do | |
- [ ] Geospatial Analysis | |
- [ ] Visualization | |
- [ ] Rice Stat 645 Data Viz | |
http://had.co.nz/stat645/ | |
- [ ] Information Visualisation - Tufte | |
http://www.amazon.com/Envisioning-Information-Edward-R-Tufte/dp/0961392118/ref=sr_1_8?ie=UTF8&qid=1376709039&sr=8-8&keywords=information+design | |
- [ ] Data Visualization | |
http://cm.dce.harvard.edu/2014/02/24028/publicationListing.shtml | |
- [ ] D3 Tutorial | |
http://alignedleft.com/tutorials/ | |
- [ ] Berkeley Viz Class | |
http://vis.berkeley.edu/courses/cs294-10-sp11/wiki/index.php/CS294-10_Visualization | |
- [ ] Python | |
- [ ] http://learnpythonthehardway.org/book/ | |
- [ ] R | |
- [ ] The Art of R Programming | |
http://shop.oreilly.com/product/9781593273842.do | |
- [ ] R in a Nutshell | |
http://shop.oreilly.com/product/9780596801717.do | |
- [ ] ggplot2 | |
http://www.springer.com/statistics/computational+statistics/book/978-0-387-98140-6 | |
- [ ] Clojure | |
- [ ] http://data-sorcery.org/contents/ | |
- [ ] http://www.packtpub.com/clojure-data-analysis-cookbook/book | |
- [ ] Final project | |
* [ ] External Resources |
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