CS231n: Convolutional Neural Networks for Visual Recognition

Computer Vision has become ubiquitous in our society, with applications in search, image understanding, apps, mapping, medicine, drones, and self-driving cars. Core to many of these applications are visual recognition tasks…

An Introduction to Statistical Learning

with Application in R

This book provides an introduction to statistical learning methods. It is aimed for upper level undergraduate students, masters students and Ph.D. students in the non-mathematical sciences. The book…

Restructuring Sparse High Dimensional Data for Effective Retrieval

The task in text retrieval is to find the subset of a collection of documents relevant to a user’s information request, usually expressed as a set of words. Classically, documents and queries are represented as…

The Elements of Statistical Learning

Data Miming, Inference, and Prediction

An important contribution that will become a classic

- Michael Chernick, Amazon 2001