Machine learning is getting more and more popular in applications and software products, from accounting to hot dog recognition apps. When you add machine learning techni...
This article was written by Tom Simonite. The nonprofit behind Wikipedia is teaming up with Google to work on algorithmic discussion monitors. Misogyny, racism, profanit...
This article was posted by S. Richter-Walsh. A Brief Introduction: Linear regression is a classic supervised statistical technique for predictive modelling which is ...
This video was posted on Youtube by Sirajology. He explains the basics of recurrent neural networks. Then you code your own RNN in 80 lines of python (plus white-space)...
The list below is a small selection from Open Culture. We picked up classes relevant to data scientists, and removed links that no longer work at the time of writing. If...
An Essential Reference for Intermediate and Advanced R Programmers Advanced R presents useful tools and techniques for attacking many types of R programming problems, he...
About the Textbook: Providing a broad but in-depth introduction to neural network and machine learning in a statistical framework, this book provides a single, comprehens...
By Winnifred Louis, Associate Professor, Social Psychology, The University of Queensland, and Cassandra Chapman,PhD Candidate in Social Psychology, The University of Qu...
Spark is recognized as a great analytics engine. One of its benefits is its inclusion of machine learning algorithms that can group, predict, classify and even recommend ...
Interesting machine learning app posted on Vonvon. You need to log on using Facebook, and it automatically fetches your profile pictures, but you can also upload some pic...