COMP0088
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Lectures for the COMP0088 Introduction to Machine Learning module delivered at UCL Autumn 2021
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1.2: Models
588 views
1.3: Fitting
509 views
2.4: Basis Expansion
523 views
2.7: Gradient Descent
306 views
2.8: Multiclass Problems
301 views
3.1: Non What?
461 views
3.2: k-Nearest Neighbours
369 views
3.3: Decision Trees
406 views
3.5: AdaBoost
373 views
4.1: The Story So Far
412 views
4.2: Perceptrons
329 views
4.3: Optimal Hard Margin
389 views
4.4: Soft Margin
305 views
4.5: The Kernel Trick
317 views
4.6: Support Vector Machines
239 views
5.1: Neurons for Beginners
389 views
5.2: Multi-Layer Perceptrons
516 views
5.3: Backpropagation
578 views
6.1: Inductive Bias
540 views
6.2 Convolutional Networks
367 views
6.3: Recurrent Networks
467 views
6.4: Practicalities
317 views
8.1: Latent Variables
375 views
8.2: Gaussian Mixture Models
368 views
8.4: Hidden Markov Models
361 views
9.1: Deep Learning Recap
215 views
9.2: Autoencoders
237 views
9.4: Large Language Models
264 views
10.2: Reinforcement Learning
118 views
10.3: Deepfakes
83 views
10.4: Ethics & Fairness
75 views
10.5: Outro
77 views