CSC 411: Machine Learning in Action Challenge : Movie Rating and - PowerPoint PPT Presentation

Jun 19, 2023 •391 likes •459 views

CSC 411: Machine Learning in Action Challenge : Movie Rating and Genre Prediction Sanja Fidler University of Toronto Jan 22, 2015 Fidler (UofT) CSC 411: Challenge Jan 22, 2015 1 / 5 Hands-On Experience A good (and fun!) way to learn the

CSC 411: Machine Learning in Action Challenge : Movie Rating and Genre Prediction Sanja Fidler University of Toronto Jan 22, 2015 Fidler (UofT) CSC 411: Challenge Jan 22, 2015 1 / 5
Hands-On Experience A good (and fun!) way to learn the concepts we are talking about is to implement them and try them on real data. We prepared movie data: http://www.cs.toronto.edu/~fidler/teaching/2015/slides/CSC411/movies.zip Try to predict ratings and genres ! Report performance on piazza Questions: ◮ What would be good features? ◮ How does each method perform? ◮ What happens if you use less vs more training data? Which method did better? ◮ What happens if your features are low or high dimensional? Which method did better? ◮ How did you choose your hyper-parameters? Note: This is not an assignment! Fidler (UofT) CSC 411: Challenge Jan 22, 2015 2 / 5
Putting Machine Learning to Practice Good advice by Andrew Ng for practical ML: http://cs229.stanford.edu/materials/ML-advice.pdf In video: https://www.youtube.com/watch?v=TxJe4xeDI7g&feature=relmfu Pedro Domingo’s paper: https://homes.cs.washington.edu/~pedrod/papers/cacm12.pdf Fidler (UofT) CSC 411: Challenge Jan 22, 2015 3 / 5
Data The data has: ◮ Train: 700 movies ◮ Test: 300 movies You may want to split the training set into train and validation Do not use test data for training or parameter tuning Each movie has lots of available meta-data, e.g.: ◮ Cast ◮ Director(s) ◮ Writer(s) ◮ Year of release ◮ Storyline (short description of the movie) ◮ Plot (longer description of the movie) ◮ Box-office information (try not using this for rating prediction) ◮ Keywords (try not using this for genre prediction) Report performance on test data Fidler (UofT) CSC 411: Challenge Jan 22, 2015 4 / 5
Kung Fu Panda This movie will be released on Jan 29 (next Friday): http://www.cs.toronto.edu/~fidler/teaching/2015/slides/CSC411/panda.mat Whose method can best guess what the rating will be? We will revisit this question in the end of Feb (when enough votes come in) Don’t cheat: by e.g., going to watch the movie and giving it a score! Fidler (UofT) CSC 411: Challenge Jan 22, 2015 5 / 5
Kung Fu Panda This movie will be released on Jan 29 (next Friday): http://www.cs.toronto.edu/~fidler/teaching/2015/slides/CSC411/panda.mat Can you accurately predict its genres? Fidler (UofT) CSC 411: Challenge Jan 22, 2015 5 / 5

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