Deep Learning ~ http://www.deeplearningbook.org/contents/mlp.html

All Video Resources : http://marakana.com/s?page=3

Python

http://www.codecademy.com/tracks/python
https://developers.google.com/edu/python/
https://www.debuggex.com/cheatsheet/regex/python
http://wiki.scipy.org/Tentative_NumPy_Tutorial
http://docs.scipy.org/doc/scipy/reference/tutorial/
http://nbviewer.ipython.org/github/jrjohansson/scientific-python-lectures/blob/master/Lecture-4-Matplotlib.ipynb
http://pandas.pydata.org/pandas-docs/stable/10min.html
http://www.gregreda.com/2013/10/26/intro-to-pandas-data-structures/
https://www.analyticsvidhya.com/blog/2014/08/baby-steps-python-performing-exploratory-analysis-python/
https://www.analyticsvidhya.com/blog/2015/01/scikit-learn-python-machine-learning-tool/

Machine Learning

http://nbviewer.ipython.org/github/cs109/2014/blob/master/homework/HW1.ipynb
http://cm.dce.harvard.edu/2015/01/14328/L03/screen_H264LargeTalkingHead-16x9.shtml
http://nbviewer.ipython.org/github/cs109/2014/blob/master/homework/HW2.ipynb
http://cs109.github.io/2014/pages/schedule.html
http://cs109.github.io/2014/pages/homework.html
LSA - http://www.ling.ohio-state.edu/~reidy/LSAtutorial.pdf http://machinelearningmastery.com/blog/ Expectation Maximization: https://www.youtube.com/watch?v=7e65vXZEv5Q Decision Tree explanation: http://www.slideshare.net/marinasantini1/lecture-4-decision-trees-2-entropy-information-gain-gain-ratio-55241087 Assumptions of Linear Regression: http://www.statisticssolutions.com/assumptions-of-linear-regression/ Bayesian A/B Testing: https://www.countbayesie.com/blog/2015/4/25/bayesian-ab-testing Analytics Vidya - Nice tips n tricks - part 1 http://poloclub.gatech.edu/cse6242/2014spring/

John Hopkins Course Notes – http://sux13.github.io/DataScienceSpCourseNotes/ , https://github.com/DataScienceSpecialization/courses

Analysis of p-values and coefficients , Assumptions in linear regression

DS Blog ~ https://d4datascience.wordpress.com/

My R code – https://github.com/kaniska/R_Workshop

More Examples – http://www.kdnuggets.com/2016/10/machine-learning-detect-malicious-urls.html

Reco – https://github.com/practical-recommender-systems/moviegeek

Spark ML – https://www.packtpub.com/books/content/real-time-aggregation-streaming-data-using-spark-streaming-and-kafka

https://www.packtpub.com/books/content/building-recommendation-engine-spark

Kaggle

http://www.kaggle.com/c/data-science-london-scikit-learn

Machine Learning Examples

Natural Language Processing with Apache Spark ML and Amazon Reviews
-- http://126kr.com/article/6nmqzi6sn09
-- http://126kr.com/article/5cilu8obeb6

Using Google SyntaxNet

-- https://pavanbirajdar.blogspot.com/2016/05/googles-syntaxnet-installation-steps-on.html
-- http://www.whycouch.com/2016/07/how-to-install-and-use-syntaxnet-and.html

Deep Learning

https://chatbotslife.com/finding-the-genre-of-a-song-with-deep-learning-da8f59a61194#.d2qjqe4z6

Data Science Q&A

https://www.springboard.com/blog/wp-content/uploads/2016/07/UltimateGuidetoDataScienceInterviews-2.pdf

http://rpubs.com/JDAHAN/172473 (Statistical Questions)

http://machinelearningmastery.com/load-explore-time-series-data-python/

https://www.springboard.com/blog/wp-content/uploads/2016/07/UltimateGuidetoDataScienceInterviews-2.pdf

http://datasciencemasters.org/, Glassdoor – Data Scientist Interview Questions , KDnuggetsUdacity ,

https://www.ngdata.com/top-data-science-resources/#Videos , https://www.kaggle.com/wiki/Tutorials,

https://campus.datacamp.com/courses/intermediate-python-for-data-science/

Hacker Rank – https://www.hackerrank.com/challenges/time-series-prediction,

http://analyticscosm.com/machine-learning-interview-questions-for-data-scientist-interview/

https://www.analyticsvidhya.com/blog/2016/11/solution-for-skilltest-machine-learning-revealed/

 

 

 

Map-Reduce

http://mapreduce4hackers.com/docs/oreilly_blog_all_vs_all_December_9_2014.pdf

Courses :

Berkeley :  http://blogs.ischool.berkeley.edu/i290-abdt-s12/2012/12/13/uc-berkeley-course-lectures-analyzing-big-data-with-twitter/

More Knuth lectures || http://scpd.stanford.edu/knuth/index.jsp

Cloudera : http://www.cloudera.com/content/cloudera/en/resources/library/training/thinking-at-scale.html

Node.js : http://marakana.com/s/post/1333/nodejs_streaming_services_html5_dev_conf, http://marakana.com/s/post/1361/node_js_cocktails_scaling_yahoo

Android : http://marakana.com/s/post/1324/storm_open_source_orm_sqlite_android_video , http://marakana.com/s/post/1379/how_to_program_for_android, http://marakana.com/s/post/1185/html5_lessons_from_linkedin_using_nodejs_devcon5_videos

http://marakana.com/s/post/1327/vertx_nodejs_java_sfjava_video

you combine the event driven, non-blocking I/O model of Node.JS with the proven performance and concurrency found in the JVM?

Cloud-based App stack (Groovy) : http://marakana.com/s/post/1358/groovy_java_sfjava_video

Responsive Ui : http://marakana.com/s/post/1337/responsive_design_html5_matt_kelly_zurb , http://marakana.com/s/post/1378/realtime_xrtml_html5_sergio_costa_video

Single-page Web app : http://marakana.com/s/post/1359/single_page_web_applications_javascript_html5devconf >> Most web apps are now in the browsers themselves, and the web is becoming a fluid, comfortable, and accessible from any device. || http://marakana.com/s/post/1322/backbone_js_html5_apps_sid_maestre_stackmob_video

Spring  : http://www.javacodegeeks.com/2013/02/going-rest-embedding-tomcat-with-spring-and-jax-rs-apache-cxf.html

Camel in Java Code : http://www.javacodegeeks.com/2013/02/hello-camel-automatic-file-transfer.html

Core Java : http://examples.javacodegeeks.com/core-java/java-comparable-and-comparator-example-to-sort-objects/

Practical Algo : http://www.tokutek.com/2012/12/fractal-tree-indexing-overview/ , http://shark.cs.berkeley.edu/presentations/2012-11-26-shark-tech-report.pdf

ORM : http://onewebsql.com/homepage

Product Technologies : http://www.sisense.com/product/technology ,

Competition : http://www.gequest.com/c/flight/data

MongoDB : http://blog.mysema.com/2010/11/mongodb-with-querydsl.html

http://www.querydsl.com/

Tech websites :

http://blogs.forbes.com/davefeinleib/

Highscalability

http://www.datastax.com/dev/blog/caching-in-cassandra-1-1

Quora :  http://www.quora.com/Big-Data/best_questions

http://www.quora.com/What-are-the-core-technologies-that-Twitter-uses-for-their-platform-and-what-is-the-Twitter-Macro-architecture

http://www.quora.com/Netflix/What-is-Netflixs-architecture

Netflix Architecture :

Quora :

http://www.quora.com/eBay/What-is-eBays-architecture

http://www.quora.com/NoSQL

Scribd : http://www.scribd.com/archive/plans?doc=92371275&platform=web&signup_type=archive_view_restricted

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