Interesting Problem: Self-correcting Random Walks
Section 3 was added on October 11. Section 4 was added on October 19. A $2,000 award is offered to solve any of the open questions, click here for details. This is an...
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DevOps Pipeline for a Machine Learning Project
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...
13,500 Nastygrams to Train Algorithms to Detect Undesirable Content
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...
Implementing the Gradient Descent Algorithm in R
This article was posted by S. Richter-Walsh. A Brief Introduction: Linear regression is a classic supervised statistical technique for predictive modelling which is ...
Build a Recurrent Neural Net in 5 min
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)...
30 Free Courses: Neural Networks, Machine Learning, Algorithms, AI
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...
Book: Advanced R (Chapman & Hall/CRC The R Series)
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...
Book: Neural Networks and Statistical Learning
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...
The seven deadly sins of statistical misinterpretation, and how to avoid them
By Winnifred Louis, Associate Professor, Social Psychology, The University of Queensland, and Cassandra Chapman,PhD Candidate in Social Psychology, The University of Qu...
DSC Webinar Series: Apache Spark and IBM Streams Working Together in Streaming Analytics
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 ...