Machine Learning (CourseraArchive) 29 个评论 关注
开始时间: 04/22/2022 持续时间: Unknown
简介: Learn about the most effective machine learning techniques, and gain practice implementing them and getting them to work for yourself.
Algorithms: Design and Analysis, Part 1 (CourseraArchive) 5 个评论 关注
开始时间: 04/22/2022 持续时间: 6 weeks
简介: In this course you will learn several fundamental principles of algorithm design: divide-and-conquer methods, graph algorithms, practical data structures (heaps, hash tables, search trees), randomized algorithms, and more.
StatLearning: Statistical Learning (Stanford Online) 3 个评论 关注
开始时间: 04/22/2022 持续时间: 未知
简介: This is an introductory-level course in supervised learning, with a focus on regression and classification methods. The syllabus includes: linear and polynomial regression, logistic regression and linear discriminant analysis; cross-validation and the bootstrap, model selection and regularization methods (ridge and lasso); nonlinear models, splines and generalized additive models; tree-based methods, random forests and boosting; support-vector machines. Some unsupervised learning methods are discussed: principal components and clustering (k-means and hierarchical).