by David TJ Huang | Nov 1, 2018 | Machine Learning
A demonstration of the most common machine learning mistake people make in using training and test data and why cross-validation avoids this mistake In our previous article, we covered the principles of training and test data and why all experts do it rigorously. Here...
by David TJ Huang | Aug 14, 2018 | Machine Learning
“What is the number one thing people should do more of when using machine learning?” Experts over the years always reply with – “I wish people understood how crucial it is to repeatedly train and test with representative data and were more skeptical of the results.”...
