Webcs229-notes2.pdf: Generative Learning algorithms: cs229-notes3.pdf: Support Vector Machines: cs229-notes4.pdf: Learning Theory: cs229-notes5.pdf: Regularization and model selection: cs229-notes6.pdf: The perceptron and large margin classifiers: cs229-notes7a.pdf: The k-means clustering algorithm: cs229-notes7b.pdf: Mixtures of … http://blog.showmeai.tech/cs229/cheatsheet-slides
The Matrix Cookbook - Mathematics
In a context of a binary classification, here are the main metrics that are important to track in order to assess the performance of the model. Confusion matrixThe confusion matrix is used to have a more complete picture when assessing the performance of a model. It is defined as follows: Main metricsThe following metrics … See more Basic metricsGiven a regression model $f$, the following metrics are commonly used to assess the performance of the model: Coefficient of determinationThe coefficient of determination, often noted $R^2$ or $r^2$, … See more BiasThe bias of a model is the difference between the expected prediction and the correct model that we try to predict for given data points. VarianceThe variance of a model is the variability of the model prediction for given … See more VocabularyWhen selecting a model, we distinguish 3 different parts of the data that we have as follows: Once the model has been chosen, it is trained on the entire dataset and tested on the unseen test set. These are … See more WebCS229 Machine Learning Assignments in Python. About. If you've finished the amazing introductory Machine Learning on Coursera by Prof. Andrew Ng, you probably got … ttd048 air conditioner
CS 229 - Probabilities and Statistics refresher - Stanford University
WebMachine Learning cheatsheets for Stanford's CS 229. Available in العربية - English - Español - فارسی - Français - 한국어 - Português - Türkçe - Tiếng Việt - 简中 - 繁中. Goal. This repository aims at summing up in the same … WebCS 229 ― Machine Learning. My twin brother Afshine and I created this set of illustrated Machine Learning cheatsheets covering the content of the CS 229 class, which I TA-ed … WebCheck out this collection of machine learning concept cheat sheets based on Stanord CS 229 material, including supervised and unsupervised learning, neural networks, tips & tricks, probability & stats, and algebra & calculus. By Matthew Mayo, KDnuggets on September 11, 2024 in Cheat Sheet, Deep Learning, Machine Learning, Mathematics, Neural ... ttc youth tickets