0
(
ratings
)
2
students
Created by:
Last updated:
September 25, 2023
Duration:
Unlimited Duration
FREE
This course includes:
Unlimited Duration
Badge on Completion
Certificate of completion
Unlimited Duration
Description
CPSC 540: Machine Learning (2013, University of British Columbia). Instructor: Professor Nando de Freitas.
This is a graduate-level course on machine learning, a field that focuses on using automated data analysis for tasks like pattern recognition and prediction. Topics will (roughly) include linear models, density estimation, graphical models, Bayesian methods, deep learning, online/active/causal learning, reinforcement learning, and learning theory.
Course Curriculum
- Lecture 01 – Introduction to Machine Learning Unlimited
- Lecture 02 – Linear Prediction Unlimited
- Lecture 03 – Maximum Likelihood and Linear Regression Unlimited
- Lecture 04 – Regularization and Regression Unlimited
- Lecture 05 – Regularization, Cross-validation and Data Size Unlimited
- Lecture 06 – Bayesian Learning Unlimited
- Lecture 07 – Bayesian Learning (cont.) Unlimited
- Lecture 08 – Introduction to Gaussian Processes Unlimited
- Lecture 09 – Gaussian Processes Unlimited
- Lecture 10 – Bayesian Optimization and Multi-armed Bandits Unlimited
- Lecture 11 – Decision Trees Unlimited
- Lecture 12 – Random Forests Unlimited
- Lecture 13 – Random Forests Applications Unlimited
- Lecture 14 – Unconstrained Optimization Unlimited
- Lecture 15 – Logistic Regression and Neuron Models Unlimited
- Lecture 17 – Neural Networks Unlimited
- Lecture 18 – Deep Learning Unlimited
- Lecture 19 – Deep Learning (cont.), Google Autoencoders and Dropout Unlimited
- Lecture 20 – Importance Sampling and Markov Chain Monte Carlo (MCMC) Unlimited
- Lecture 21 – Markov Chain Monte Carlo (MCMC) II Unlimited
About the instructor
5
5
Instructor Rating
6
Reviews
4637
Courses
24154
Students
OpenCoursa
We are an educational and skills marketplace to accommodate the needs of skills enhancement and free equal education across the globe to the millions. We are bringing courses and trainings every single day for our users. We welcome everyone woth all ages, all background to learn. There is so much available to learn and deliver to the people.
