Below are summaries, lecture notes, study guides and practice exams for Machine Learning of Introduction to Machine Learning (EE 104) at Stanford University. When you have documents yourself that can be shared among students, please upload them to aid other students with studying. Every time someone downloads your document, you will be rewarded.
CS229 Lecture Notes Andrew Ng Updated by Tengyu Ma This course provides a broad introduction to machine learning and statistical pattern recognition. Topics include: supervised learning (generative/discriminative learning, parametric/non-parametric learn...Stanford University / Introduction to Machine Learning (EE 104) / Machine Learning
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