What did you agree to? Readable privacy policies with help from ML
Training text classifiers on privacy policies and terms and conditions to help reclaim privacy.
Sounds and Words
Applying data science and ML to audio and language
Latest posts
The Unreasonable Power of Vectors
Let’s say you have a dataset of Things. Things could be people, cities, countries, dinosaurs, episodes of The Simpsons, whatever really. You’d like to better understand the dataset as quickly as you can, use it to improve your understanding of Things, and maybe even build software features on top of it. Basically, you want the dataset “at your fingertips”.
Loss Functions in Audio ML
An informal survey of objective functions used in Machine Learning in the audio domain.
3 Ways to Classify Drum Sounds
I show how to turn a disorganized pile of drum sounds into a dataset well-suited for ML. And, I share how a few standard approaches to supervised classification can predict drum types with good accuracy.