What is this?
A collection of cheatsheets and refreshers that summarize all the key concepts taught in Stanford's CS 229 Machine Learning course, covering supervised learning, unsupervised learning, deep learning, and training tips.
A collection of cheatsheets and refreshers that summarize all the key concepts taught in Stanford's CS 229 Machine Learning course, covering supervised learning, unsupervised learning, deep learning, and training tips.Is this one cheatsheet or a set of documents?It's a set: four VIP cheatsheets (supervised learning, unsupervised learning, deep learning, and tips & tricks), two VIP refreshers (probability & statistics, algebra & calculus), and a Super VIP cheatsheet that merges everything into one PDF.
It's a set: four VIP cheatsheets (supervised learning, unsupervised learning, deep learning, and tips & tricks), two VIP refreshers (probability & statistics, algebra & calculus), and a Super VIP cheatsheet that merges everything into one PDF.How do I read these cheatsheets?Open the PDF files directly from the repository, or browse them more comfortably on the authors' dedicated companion website from any device.
Open the PDF files directly from the repository, or browse them more comfortably on the authors' dedicated companion website from any device.Is this only for CS229 students?It's built as review material for Stanford's CS 229 course, but it works as a general quick-reference for anyone studying supervised learning, unsupervised learning, or deep learning fundamentals.
It's built as review material for Stanford's CS 229 course, but it works as a general quick-reference for anyone studying supervised learning, unsupervised learning, or deep learning fundamentals.What is the Super VIP cheatsheet?It's a single document that gathers all the content from the supervised learning, unsupervised learning, deep learning, tips & tricks, and refresher cheatsheets in one place.
It's a single document that gathers all the content from the supervised learning, unsupervised learning, deep learning, tips & tricks, and refresher cheatsheets in one place.Does it include math prerequisites, not just ML topics?Yes, there are two VIP refreshers covering probability & statistics and algebra & calculus, meant to highlight the key prerequisite concepts for the course.
Yes, there are two VIP refreshers covering probability & statistics and algebra & calculus, meant to highlight the key prerequisite concepts for the course.What are similar projects?100-Days-Of-ML-Code, MathModel, libpku, data-science, mlcourse.ai, Coursera-ML-AndrewNg-Notes, cheatsheets-ai, REKCARC-TSC-UHT
100-Days-Of-ML-Code, MathModel, libpku, data-science, mlcourse.ai, Coursera-ML-AndrewNg-Notes, cheatsheets-ai, REKCARC-TSC-UHTWhich topics is it in?unsupervised-learning, study, university, math, document, neural-networks, statistics, cheatsheet, academic, curriculum, course, multilingual
unsupervised-learning, study, university, math, document, neural-networks, statistics, cheatsheet, academic, curriculum, course, multilingual