— Insight —
Eric Colson, the Chief Algorithms Officer at Stitch Fix, offers key insights for creating a data-centered culture that will empower your data scientists to come up with things you never dreamed of.
— Profiles —
Jeff Dean and Sanjay Ghemawat are the highest ranking engineers at Google. Together, they've been instrumental in the creation of technologies like MapReduce and TensorFlow and their work has changed the course of the Internet. This New Yorker profile of the duo is fantastic.
— 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.
— Tools and Techniques —
Nice introduction to Gradient Boosting and XGBoost by Shirin Glander. Starts with an overview of how these techniques work and then then shows how to implement them using common R packages.
Here's why you should be keeping your SQL queries in a library, along with an easy and useful approach for setting one up.
A simple application of Probabilistic Programming with PyMC3 in Python.
Powered by a cutting-edge curriculum and expert instructors, our 13-week full-time immersive program provides unparalleled education in a dynamic learning environment. Our career team also helps to identify your strengths, refine your goals, and connect you with Galvanize’s 1000+ hiring partners.
— Resources —
To help you stay current with the rapidly evolving advances in AI, here are summaries of 10 key AI research papers from 2018. For each paper, the authors include links to the full papers, core ideas, key achievements, potential applications, and thoughts from the community.
This is an amazing collection of satellite data that's free to use for research, education, and nonprofit uses. Includes more than forty years of historical imagery and scientific datasets in disciplines such as imagery, climate, weather, terrain models, land cover, etc.
— Data Viz —
This tutorial session from the NeurIPS Conference is a great introduction to Machine Learning Visualization. Fernanda Viegas and Martin Wattenberg are presenting and they're fantastic. The entire presentation is ~2 hours but it's well-organized and easy to skip around.
— Career —
Jeremie Harris helps people transition into data science careers through SharpestMinds. No single approach works for everyone but consistently, he offers similar advice to 3 different categories of job searchers: complete beginners, software engineers, and new grads. In this post, he shares his insights and offers specific suggestions for each type of job searcher.