— In the News —
China has this all figured out.
As the host of the DataFramed podcast, Hugo Bowne-Anderson has interviewed more than 30 data scientists from a variety of industries and academic disciplines. In this article, he summarizes the key things he's learned from those interviews, including things like, what data scientists really do, which skills are worth developing, and which industries to focus on.
— Sponsored Link —
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— Tools and Techniques —
Jupyter notebooks are widely used at Netflix and its data scientists and engineers have been pushing the boundaries of what notebooks can do. This article from the Netflix Technology Blog explores some of the novel ways that notebooks are used at Netflix. Includes an overview of the supporting infrastructure with links to several open-source utilities.
This undergraduate course offers a great foundation to the statistics behind many popular sports, including baseball, basketball, American football, and hockey. Follow the links for an awesome collection of readings, lectures, and lab excercises using R.
Here's how Mark Chapman - civic hacker - gained access to Chicago parking ticket data to identify trouble spots and ultimately prompt changes that has saved drivers $60,000 in fines so far! The wins here aren't super technical. This is largely a story about common sense and tenacity, combined with a love for data.
This post by Simon Jackson is a how-to guide for exploring correlations using his corr R package. This is a nice walk through, including several examples.
This post from the R-Music blog shows how to do music chords analysis using R! R-Music is a new blog that covers the field of music information retrieval, which includes applications of music and audio data.
This bestselling book from Packt will teach you how to build next-generation Artificial Intelligence systems using Java. Get the ebook for just $9 with this code: “ORDEA09”
— Resources —
The Resources page for this Machine Learning course at Stanford includes a variety of useful cheatsheets and refreshers, including Machine Learning Tips and Tricks, Probability and Statistics, Linear Algebra, Supervised Learning, Unsupervised Learning and Deep Learning.
— Data Viz —
The Cartography Playground is an interactive website for explaining cartographic algorithms and problems.