MLx Fundamentals
Oxford Machine Learning School 5 years of this learning plan. Pick the year you are preparing for.
MLx Fundamentals
This program offered a comprehensive 18-hour course that included theory and practical sessions covering key areas in modern machine learning, such as Introduction to ML, Deep Learning & Representation Learning, Optimisation, and Generative AI (vision & NLP).
MLx Fundamentals
This program offered a comprehensive 11-hour course that included theory and practical sessions covering key areas in modern machine learning, such as Factorisation methods in ML, Causal Representation Learning and Related Machine Learning Tasks, Deep Learning, Generative AI (vision and NLP), Optimisation (including DNN), and an Introduction to Statistical Machine Learning.
MLx Fundamentals
This program offered a comprehensive 5-hour course that included theory and practical sessions covering key areas in modern machine learning, such as Optimisation for Machine Learning, Fundamentals (Mathematics for Machine Learning, Reinforcement Learning, Bayesian Optimisations), and Understanding the Basic Pillars Behind GPT4.
MLx Fundamentals
This program offered a comprehensive 5-hour course that included theory and practical sessions covering key areas in ML fundamentals, advanced topics in ML theory.
MLx Fundamentals
This program offered a comprehensive 5-hour course that included theory and practical sessions covering key areas in ML fundamentals, advanced topics in ML theory.