Description
Supervised and unsupervised learning algorithms, including deep neural networks
Clear, intuitive explanations of algorithms and mathematics that preserve essential details
Practical techniques for building, debugging, and evaluating models
Advanced topics including ensembles, recommender systems, and metric learning







Reviews
There are no reviews yet.