Data Science Roundup #67: Focus on Deep Learning! Plus: The 10 Best Data Viz Projects of 2016

Focus on deep learning: an update on AlphaGo, a fun side project, and a review of deep learning in 2016. Plus: 38 amazing stats developments, amazing data viz projects, and building a linear regression function from scratch.

Welcome to 2017!

Share via Twitter | Share on Facebook | forward this email

Referred by a friend? Sign up.

Focus on: Deep Learning

Robots 60, Humans 0

Over the past few days, Google’s Deepmind machine-learning team secretively put its AlphaGo artificial intelligence system onto two Chinese online board-game platforms to test its skill in fast-paced games against several of the world’s best Go players. It won every game it played. Go has become the province of AI, and DeepMind further proves that GANs are an extremely promising approach.

qz.comShare

Deep Learning Enables You to Hide Screen when Your Boss is Approaching

This post feels completely trivial, and that’s exactly the point. Deep learning is becoming straightforward enough to deploy that it can now be used in an increasing number of problem domains, including trivial ones. The author used a bunch of off-the-shelf tools including Keras and TensorFlow. Expect deep learning to be a core component to college CS projects and startup hackathons in 2017.

Also: this post is just freaking cool.

ahogrammer.comShare

Deep learning 2016: The Year in Review

This is the best summary of deep learning activity over the past year that I’ve read. It focuses on new techniques (reinforcement learning and adversarial networks), the trend towards openness in the commercial research space, the white-hot acquisition market, and the advances in chips.

Very readable; highly recommended if you don’t follow deep learning closely.

www.deeplearningweekly.comShare

This week's best data science articles

A non-comprehensive list of awesome things other people did in 2016

While the title of this post says “non-comprehensive”, that’s only really true in the most technical sense. This is a massive list of (38!) awesome developments in the world of stats in 2016.

Assuming you like lists of awesome things, this is an absolute must read.

simplystatistics.orgShare

Best Data Visualization Projects of 2016

Words do an extremely poor job of summarizing this article: instead, click through and scroll through the projects. There is some really inspiring work being done in data viz today.

flowingdata.comShare

Linear Regression from Scratch in R

Running a regression is a commonplace task—you can do it via a function call it any statistical programming language (even Excel!). But do you really understand what that function is doing? I always feel far more confident using functions when I understand the details of their implementation, and I love this post for diving into the internals of lm(). By the end, you could implement linear regression from scratch.

datascienceplus.comShare

Data viz of the week

The Rhythm of Food (click through for *much* more!)

The Rhythm of Food (click through for *much* more!)

Thanks to our sponsors!

Fishtown Analytics: Analytics Consulting for Startups

Fishtown Analytics works with venture-funded startups to implement Redshift, BigQuery, Mode Analytics, and Looker. Want advanced analytics without needing to hire an entire data team? Let’s chat.

fishtownanalytics.comShare

Stitch: Simple, Powerful ETL Built for Developers

Developers shouldn’t have to write ETL scripts. Consolidate your data in minutes. No API maintenance, scripting, cron jobs, or JSON wrangling required.

www.stitchdata.comShare

By Tristan Handy

The internet's most useful data science articles. Curated with ❤️ by Tristan Handy.

Tweet Share

If you don't want these updates anymore, please unsubscribe here.

If you were forwarded this newsletter and you like it, you can subscribe here.

Powered by Revue

915 Spring Garden St., Suite 500, Philadelphia, PA 19123