— In the News —
Lots to think about in this collection of short talks from the recent EmTech Digital conference. Talks cover AI, robotics, and intelligent startups. Most of these are 15-20 minutes and are easy to get into.
Inside Satya Nadella’s plan to outsmart Google.
The rise in precision agriculture has created a massive influx of unstructured farm data, creating new opportunities in an industry that's been operating solely in the physical realm.
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— Tools and Techniques —
Third post in a series about creating a well-rounded data science portfolio. This post covers things to think about in a machine learning project. This is thorough and very well done.
This introductory machine learning tutorial is easy to follow and covers a lot of ground. Starts with an overview of the problem and continues with data prep, classification algorithms, and an overview of deep neural networks.
Reddit thread: What useful things have you learned on the job/in practice that you don't learn from books and courses?
— Resources —
Lots of interesting possibilities with this. Here's the first geocoded dataset of urban settlements from 3700 BC to AD 2000. This article in Nature describes the project and provides links to the csv data files.
— Data Viz —
Nice collection of curated Tableau articles from around the web.
Great election coverage by FiveThirtyEight. This collection of interactive visualizations is regularly updated and includes 3 forecast models, a national overview and details by state. Worth bookmarking.