What I learned from taking 11 classes on Machine Learning in 11 minutes, during my 11-month MPhil in Machine Learning at Cambridge University. All you need to know — which classes are useful, interesting, or a waste of time? I’ll review all my classes (since Cambridge doesn’t provide a platform for students to anonymously rate/review their classes for other students to see) to enhance transparency on what to expect, top tips on making the most out of ML classes, and mistakes I made so that you don’t have to. Finally, I’ll recommend the top ML classes to take and share my least favourite classes to save your time on choosing courses in 2022. I’ll highlight what skills are crucial in the work of a machine learning engineer, which is what I’ve been doing after I graduated.
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MY COLLEGE EXPERIENCE:
A Day in the life of a Cambridge student ► https://youtu.be/M9-_d1v5BZw
Dorm room tour ► https://youtu.be/Sq4WkMS16_A
Pros & Cons of Cambridge ► https://youtu.be/hE4GMkJmQhA
TIPS ON HOW TO GET INTO CAMBRIDGE:
Cambridge Application Series ► https://www.youtube.com/watch?v=MGgOtnMGACE&list=PLtNuEg7V5efWh7OpYIUNaUDoesrV-Y5Um
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Instagram ► https://www.instagram.com/giga.gab
⌛️ TIMESTAMPS
0:00 ML Master’s Overview
0:17 Term 1 Overview
0:24 1. Intro to ML
1:47 2. Speech Recognition
3:26 3. Deep Learning
5:01 4. Probabilistic ML
5:40 5. Computer Vision (Elective)
6:12 6. Robotics (Elective)
7:00 Term 2 Overview
7:30 7. Advanced ML
8:07 8. Reinforcement Learning
8:32 9. NMT & Dialogue Generation
9:08 10. Designing Intelligent Interactive Systems (HCI)
9:36 11. Spoken Language Processing and Generation
10:04 Favourite vs Least Favourite Classes
MUSIC CREDITS
Music by SkeetOnTheBeat – Nostalgia – https://thmatc.co/?l=56BE0A21
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