Watch 116 7-15 minute videos by Andrew Ng that teach supervised learning , unsupervised learning, special applications and topics, and advice on building a machine learning system. Supervised learning topics covered include linear regression. logistic regression, neural networks and SVMs. Unsupervised learning topics covered include K-means, PCA, and anomaly detection. Special applications and topics covered include recommender systems and large scale ML. Advice on building a ML system cover bias/variance, regularization, and deciding what to work on next: evaluation of learning algorithms, learning curves, error analysis and ceiling analysis. Over 900,000 views.
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