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Regression: Predicting House Prices [+] Expand All[+]

  • Intro
  • Regression Intro, gradient descent
  • Regression cont.
  • Assessing performance, error types + bias/variance tradeoff
  • Overfitting, regularized regression, ridge regression
  • Lasso regression, cross validation

Lectures:

Classification: Analyzing Sentiment [+] Expand All[+]

  • Class intro
  • Logistic regression, overfitting
  • Decision trees
  • Overfitting in decision trees, boosting
  • Boosting cont., precision and recall

Lectures:

Clustering and Similarity: Retrieving Documents [+] Expand All[+]

  • Retrieving intro, kNN
  • kNN methods for classification and regression
  • Clustering and unsupervised learning intro, k-means
  • Hierarchical clustering

Lectures:

Recommending Products [+] Expand All[+]

  • Recommender systems, performance metrics

Lectures:

Deep Learning: Searching for Images [+] Expand All[+]

  • Deep learning intro, single and multilayer networks
  • Guest lecture
  • Convnets, transfer learning, course wrapup

Lectures: