— In the News —
In this post on the a16z blog, Martin Casado and Peter Lauten describe how having more data may not be the silver bullet that many business leaders have long assumed it to be.
When Google launched a challenge to address social, humanitarian and environmental problems using AI, they received over 2600 project proposals! Of those, 20 were selected to receive grants and support. There are a lot of smart and creative ideas here. Each of the winners in this post includes a short description and link to the project website.
— Sponsored Link —
Vettery specializes in tech roles and is completely free for job seekers. Interested? Submit your profile, and if accepted onto the platform, you can receive interview requests directly from top companies growing their data science teams.
— How-to —
Stripe uses machine learning to evaluate complex, real-world problems at scale. This post explores the challenges and decisions behind the infrastructure that enables it.
Here's how to fully utilize ipywidgets to create interactive dashboards. Includes lots of examples.
This new set of Python tutorials aims to be a simple place to get started with machine learning.
— Data Viz —
This essay is a fantastic demonstration of how interactive visualizations can be used to anchor complex explanations.
— Jobs & Careers —
Post on Data Elixir's Job Board to reach a wide audience of data professionals.