Stanford University

CS 229A — Applied Machine Learning

55 documents • ranked by quality and engagement.

No description provided

Machine Learning Study Notes (Set 1)

CS 229A · Stanford University

System Identification of a Dragon Fly UAV via Bayesian Estimation

CS 229A · Stanford University

Introduction to Facebook Friend Suggestion

CS 229A · Stanford University

Application of Machine Learning Methods in Variable Moving Average Trading Rules

CS 229A · Stanford University

Machine Learning Lectures Notes

CS 229A · Stanford University

Introduction to Query Segmentation Using Supervised Learning

CS 229A · Stanford University

Introduction to a Generalized Neutral Portfolio

CS 229A · Stanford University

Introduction to Gaussian Processes

CS 229A · Stanford University

Introduction to Particle Classification

CS 229A · Stanford University

Learning Projections for Coding that is Hierarchical and Sparse

CS 229A · Stanford University

Machine Learning Study Notes (Set 2)

CS 229A · Stanford University

Prediction of the Outcome for Two-Team Games

CS 229A · Stanford University

Machine Learning Lecture Notes (Set 1)

CS 229A · Stanford University

Using Machine Learning for the Identification of Art Paintings

CS 229A · Stanford University

Introduction to Musical Hit Detection

CS 229A · Stanford University

Introduction to Hierarchical Sparse Coding

CS 229A · Stanford University

Reference and Review of Linear Algebra

CS 229A · Stanford University

Lecture on Machine Learning

CS 229A · Stanford University

Lecture on Machine Learning - CS 229

CS 229A · Stanford University

Learning the Depth in Light Field Images

CS 229A · Stanford University

Machine Learning Lecture Note

CS 229A · Stanford University

Second Problem Set Theory, SVMs, and Naive Bayes

CS 229A · Stanford University

Machine Learning Study Notes (Set 4)

CS 229A · Stanford University

Midterm for Winter 2024

CS 229A · Stanford University