— In the News —
If you don't directly work on defense projects, it's hard to know what's really going on in that world. This long-read in The Atlantic is as fascinating as it is scary. “There’s no way a human can keep up, so you’ve got to delegate to machines..." Welcome to a new era of machine-driven warfare.
— Sponsored Link —
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— Tools and Techniques —
Traditional machine learning startups building single tools have the wrong idea. Today, companies need to be full-stack to thrive.
This gentle introduction to Gaussian Processes by Yuge Shi is easy to follow and covers a lot of ground. Includes lots of diagrams and links to key resources along the way.
This new SQL engine at Google is already serving hundreds of billions of queries per day. It was built to support YouTube's exploding analytics and data volume needs but ultimately, this "could well be the future of data processing at Google." Great post from Adrian Colyer's The Morning Paper.
The ML workspace is an all-in-one web-based IDE for machine learning and data science. Combines Jupyter, VS Code, TensorFlow, and many other tools and libraries into one convenient Docker image.
Another day, another custom script to analyze an A/B test. Maybe you’ve done this before and have an old script lying around. If it’s new, it’s probably going to take some time to set up, right? Not at Netflix.
This literature review by Shay Palachy offers a nice introduction to document embedding techniques. Covers applications, techniques, trends and lots of linked references.
Realistic and sometimes comical introduction to machine learning - especially for your coworkers that might be new to it.
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— Data Viz —
Data viz abstractions break down complex tasks and enable users to focus on different issues at different levels of a visualization. This post by Susie Lu is the first of a series that explores why abstractions are important and how to think about structuring them in your own visualizations.
— Conferences & Events —
- Free Webinar: Data-Driven Approaches to Forecasting - Join Metis for this live online workshop designed for business leaders, data science managers, and decision makers seeking to understand how data-driven approaches can improve forecasting and planning. We will discuss examples of forecasting applications, explore some of the methodologies available, and address effective implementation. Sept 26, 12:00pm ET
- Domino Data Science Popup - Chicago - Advance the state of data science within your organization, glean new ideas and technical best practices, and meet like-minded people at the Midwest Data Science Pop-up in Chicago. Don’t miss these practical talks and workshops for data science leaders and practitioners. October 8, 2019