Applied Machine Learning

Introduction to Self-Attention [Applied Machine Learning || Varada Kolhatkar || UBC]

18.3 Word2vec [Applied Machine Learning || Varada Kolhatkar || UBC]

18.2 Term-term Cooccurrence Matrix [Applied Machine Learning || Varada Kolhatkar || UBC]

18.1 Word Embeddings Motivation [Applied Machine Learning || Varada Kolhatkar || UBC]

17.3 PCA Loss [Applied Machine Learning || Varada Kolhatkar || UBC]

17.2 PCA Intuition and Terminology [Applied Machine Learning || Varada Kolhatkar || UBC]

17.1 Dimensionality Reduction Motivation [Applied Machine Learning || Varada Kolhatkar || UBC]

15.3 Hierarchical Clustering [Applied Machine Learning || Varada Kolhatkar || UBC]

15.2 DBSCAN [Applied Machine Learning || Varada Kolhatkar || UBC]

15.1 DBSCAN Motivation [Applied Machine Learning || Varada Kolhatkar || UBC]

9.1 Classification Metrics Motivation [Applied Machine Learning || Varada Kolhatkar || UBC]

16.2 Text Preprocessing [Applied Machine Learning || Varada Kolhatkar || UBC]

16.1 What is NLP? [Applied Machine Learning || Varada Kolhatkar || UBC]

14.3 K-Means: Choosing K [Applied Machine Learning || Varada Kolhatkar || UBC]

14.2 K-Means Algorithm [Applied Machine Learning || Varada Kolhatkar || UBC]

14.1 Clustering Motivation [Applied Machine Learning || Varada Kolhatkar || UBC]

12.2 Feature Importances Non-Linear Models [Applied Machine Learning || Varada Kolhatkar || UBC]

12.1 Model Interpretation Motivation [Applied Machine Learning || Varada Kolhatkar || UBC]

11.2 Intro to Gradient Boosted Tree Models [Applied Machine Learning || Varada Kolhatkar || UBC]

11.1 Ensembles: Motivation [Applied Machine Learning || Varada Kolhatkar || UBC]

10.1 Preprocessing Housing Price Dataset [Applied Machine Learning || Varada Kolhatkar || UBC]

9.4 Addressing Class Imbalance [Applied Machine Learning || Varada Kolhatkar || UBC]

9.3 Precision, Recall, F1 score [Applied Machine Learning || Varada Kolhatkar || UBC]

9.2 Confusion Matrix [Applied Machine Learning || Varada Kolhatkar || UBC]

8.2 Overfitting of the validation error [Applied Machine Learning || Varada Kolhatkar || UBC]

8.1 Hyperparameter Optimization Motivation [Applied Machine Learning || Varada Kolhatkar || UBC]

7.3 Predicting Probability Scores [Applied Machine Learning || Varada Kolhatkar || UBC]

7.2 Logistic Regression [Applied Machine Learning || Varada Kolhatkar || UBC]

7.1 Linear Regression [Applied Machine Learning || Varada Kolhatkar || UBC]

6.2 Encoding Text Features [Applied Machine Learning || Varada Kolhatkar || UBC]