BDALearn北京 海淀区 1个粉丝 |
StatLearning: Statistical Learning (Stanford Online) 3 个评论 关注 开始时间: 04/22/2022 持续时间: 未知 主页: https://class.stanford.edu/courses/HumanitiesScience/StatLearning/Winter2014/about 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). |
Data Analysis (CourseraArchive) 2 个评论 关注 开始时间: 04/22/2022 持续时间: 8 weeks 主页: https://www.coursera.org/course/dataanalysis 简介: Learn about the most effective data analysis methods to solve problems and achieve insight. |
Functional Programming Principles in Scala (CourseraArchive) 7 个评论 关注 开始时间: 04/22/2022 持续时间: 7 weeks 主页: https://www.coursera.org/course/progfun 简介: Learn about functional programming, and how it can be effectively combined with object-oriented programming. Gain practice in writing clean functional code, using the Scala programming language. |
Mining Massive Datasets (CourseraArchive) 1 个评论 关注 开始时间: 04/22/2022 持续时间: 7 weeks 主页: https://www.coursera.org/course/mmds 简介: This class teaches algorithms for extracting models and other information from very large amounts of data. The emphasis is on techniques that are efficient and that scale well. |