A developer-friendly introduction to machine learning using C++. Part 2 of 3: How do you figure out a neural network’s optimal weight and bias values... (more…)

Machine learning needs techniques to prevent adversarial use, along with better data protection and management. (more…)

Machine learning offers a fantastically powerful toolkit for building complex systems quickly. This paper argues that it is dangerous to think of these quick wins as coming for free. Using the framework of technical debt, we note that it is remarkably eas... (more…)

A golden rule of Human in the Loop Machine Learning systems is to never fully trust what is automated. So, even if you reach the Automated phase, you should still leverage the Human part of the system to verify that your automated processes still act as i... (more…)

TDA and Machine Learning both benefit from the other. This post by Ayasdi co-founder Harlan Sexton talks specifically about how Random Forest can perform better with TDA and vice versa. (more…)