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Statistics, Data Science, Big Data, Analytics, R, python. Data Science blogs to read. Find a job in Statistics. Trying to get my blog back up and running. ROpenSci and some interesting packages. If you have never heard of rOpenSci. And you use R, you should check out this website and the packages available there. Both are very useful packages.
Built an interactive study tool used by tens of thousands of students across 9 different universities. Developed a system that combines software and crowdworking to automatically convert exam PDFs into dynamic and responsive online tests. Founded and led a game studio to bring board games to the digital world. Grew the studio to a headcount of over 30, producing and launching two main titles Epic Everything and The Resistance.
Fighting Fraud and Cyber Threats with the power of Network Analytics. Machine learning overview with SAS software.
Multi-dimensional thinking to free your mind, body and soul. Love Your Coast, Others, and YOURSELF. Three Startup Stories for the Wannabe Entrepreneur. Making Life Easier for Data Analysts. Music Production DJ and Music Production Content.
Experience with Data Science, Big Data, and Analytics. I have been reading a lot about Analytics. Here is a new website with a very nice collection of handbooks about Analytics, Projects, Learning about Data Science. I like the Projects page. It has some nice projects connected to kaggle to get started with. Check out How to Build and Lead a Winning Data Team.
A month ago, we allowed readers to submit questions about the data science industry and we took the top 8 most popular questions.
A place to become data literate! March Machine Learning Mania. In this post, we again use a third party data project taken from Kaggle. These tutorials are meant for ANYONE. Interested in learning more about data analytics and is made so that you can follow along even with no prior experience in R.
The Portfolio and Writings of Bill Chambers. A Simple Link Shortener in Scala. A Simple Link Shortener in Clojure. Visualizing Crime in San Francisco during the 2014 World Series. Visualizing Flights Origins and Departures with d3. K-Means Clustering - Liquor and Assaults in San Francisco. Exploratory Data Analysis of Crime in San Francisco. Python NLP - NLTK and scikit-learn.
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