Digests » 8


A project based introduction to TensorFlow.js

In this post we introduce how to use TensorFlow.js by demonstrating how it was used in the simple project Neural Titanic. In this project, we show how to visualize the evolution of the predictions of a single layer neural network as it is being trained on the tabular Titanic Dataset for the task of binary classification of passenger survival.

Inside China’s Dystopian Dreams: A.I., Shame and Lots of Cameras

In the Chinese city of Zhengzhou, a police officer wearing facial recognition glasses spotted a heroin smuggler at a train station.

Pandas on Ray – Early Lessons from Parallelizing Pandas

In our last blog post, we introduced Pandas on Ray with some preliminary progress for making Pandas workflows faster by requiring only a single line of code change. Since then, we have received a lot of feedback from the community and in response we worked to significantly improve the functionality and performance. In this blog post, we will go over a few of the lessons we learned along the way and talk about performance and how we plan to continue improving the library moving forward.

How to Build a Data Science Portfolio

How do you get a job in data science? Knowing enough statistics, machine learning, programming, etc to be able to get a job is difficult. One thing I have found lately is quite a few people may have the required skills to get a job, but no portfolio.

An AI system for editing music in videos

Amateur and professional musicians alike may spend hours pouring over YouTube clips to figure out exactly how to play certain parts of their favorite songs. But what if there were a way to play a video and isolate the only instrument you wanted to hear?