— In the News —
Great overview of Deep Learning for smart, non-experts. Includes a history of Deep Learning and insights about where things are going.
This short exploration of Clinton's and Trump's speeches offers some insights into what can be done with Natural Language Processing. It's more than you might think.
Thought provoking talk about data and the people who work with it. This Hacker News thread about the talk is worthwhile too.
— Sponsored Link —
Quickly pinpoint what’s broken and why. Get the context and insights to defeat all application errors.
— Tools and Techniques —
Awesome! R Notebooks offer an easy way to create reproducible, end-to-end data analysis workflows. And they're not just for R code. You can also run Python, Bash, C++, and even SQL. The files are plain-text so they're also easy to publish and manage.
Part 3 of a popular series by Sebastian Raschka about tuning machine learning algorithms.
SQLite is a database engine that makes it easy to work with relational data. And unlike other databases, SQLite stores its data in a single file, which makes it easy to share. This tutorial shows how to get started and work with SQLite using Python.
This package provides access to the complete TensorFlow API from within R.
Implementing algorithms from scratch is a mistake that beginners often make. Here's why and, if you're a beginner, what you should do instead.
— Resources —
Google just released a trove of data for machine learning researchers: millions of images and YouTube videos, linked and tagged.
— Data Viz —
Nice overview of data visualization options with Python.
Edward Tufte is legendary in the data visualization community. In this keynote, he offers practical advice about making credible conclusions from data.