Debugging Classifiers with Confusion Matrices
A confusion matrix can provide us with a more representative view of our classifier’s performance, including which specific instances it is having trouble classifying.
In the last three years since Comet was founded, our users and customers trained millions of models on anything from…
Introduction Model training is arguably the most time consuming, and computationally demanding part of the Machine Learning pipeline. Depending on…
Check out part 1 (here)and part 2 (here) of this series In the last part of our series on…
You can check out part 1 of this series here In part 1 of this series, we discussed the sources…
“We demand rigidly defined areas of doubt and uncertainty!” - Douglas Adams, The Hitchhiker’s Guide to the Galaxy Why…
Sections Introduction to NLP Dataset Exploration NLP Processing Training Hyperparameter Optimization Resources for Future Learning Introduction to NLP Natural Language…