— In the News —
A recent report explores job opportunities for data scientists and engineers across Europe, including salaries, benefits, key skills and experience.
— Tools and Techniques —
Everyone won't agree with Ted Petrou's approach to using pandas but as the author of The Pandas Cookbook, Ted's approach is well informed. This article explores common issues that users run into and shows how a key subset of pandas is sufficient for most users.
AresDB is an open source, real-time analytics engine that leverages GPUs to enable analytics at scale. This article from Uber's Engineering blog describes how it works, why it's a big deal and how Uber is using it.
Realize the promise of data analytics and find the opportunity in the numbers. The Master of Management Analytics from Smith School of Business is essential training to unleash the potential of data and generate competitive advantage.
— Resources —
Papers with Code is a great new resource that provides summaries and links to Machine Learning papers along with the corresponding code and evaluation tables. This is very well organized and growing fast.
IBM Research released a large and diverse dataset called Diversity in Faces to advance the study of fairness and accuracy in facial recognition technology. It's an annotated dataset of 1 million human facial images. This post describes the project and includes links for accessing the data.
— Podcasts —
Great interview on the Venture Stories podcast about evaluating machine learning ideas for startups. The conversation is with Ash Fontana, general partner at Zetta Ventures, and Anthony Goldbloom, CEO of Kaggle. There are good insights here for makers and decision-makers alike.
— Data Viz —
Pinterest is a social platform for sharing images and may not be high on your list of worthwhile websites for data science. If that's the case, you may be surprised by the ideas, inspiration, and resources you can find there. For instance, check these out:
Over the past year, the BBC Visual and Data Journalism team has been using ggplot2 to create production-ready charts. In this post, they describe why they chose ggplot2, what they've learned along the way, and they offer links to key resources, such as the BBC Visual and Data Journalism cookbook for R graphics.
— Career —
Worthwhile insights here for anyone interested in an AI career.