— In the News —
Jeff Dean from the Google Brain Team highlights his team's accomplishments for 2017. This is an amazing assortment of projects that have wide-ranging impact. There are two parts to this post and both are high-level with lots of screenshots, videos, and links.
AI seems to be everywhere these days and it's easy to think that your organization is somehow behind. This article from the McKinsey Quarterly explores the realities of AI from a practical perspective. It's aimed at executives but decision-makers of all types will find value here. The article provides an assessment of AI limitations and it includes actionable steps for finding and taking advantage of opportunities.
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— Tools and Techniques —
If you're still using Python 2, here's a well-organized collection of Python 3 features to inspire you and help ease the transition.
Data science and data engineering are closely related fields and it's useful to develop skills in both. In this series of posts, Robert Chang from Airbnb considers data engineering from the perspective of a data scientist. This first part offers a useful introduction to data engineering and the next two parts will cover Airflow, frameworks, abstractions and patterns. This promises to be a fantastic series.
Ensembles have rapidly become one of the hottest and most popular methods in applied machine learning. Virtually every winning Kaggle solution features them, and many data science pipelines have ensembles in them too. This is a great tutorial that explores ensembles and ways to implement them.
In this tutorial, you'll create a neural network that converts an image of a design mockup into the code for a simple website. This is a great tutorial and there's a Github repo of code to go along with it.
This graduate level series from the University of Notre Dame provides an overview of Bayesian computational statistics methods. The series is well organized and includes videos, notes, and homework.
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— Blogs —
From Data Elixir Readers
Reader blogs are still coming in! Here are this week's picks: