Machine Learning (CourseraArchive) 29 个评论 关注

开始时间: 04/22/2022 持续时间: Unknown

主页: https://www.coursera.org/course/ml

简介: Learn about the most effective machine learning techniques, and gain practice implementing them and getting them to work for yourself.

Try R (Code School) 1 个评论 关注

开始时间: 04/22/2022 持续时间: free

主页: http://www.codeschool.com/courses/try-r

简介: Learn the R programming language for data analysis and visualization. This software programming language is great for statistical computing and graphics.

Try Git (Code School) 2 个评论 关注

开始时间: 04/22/2022 持续时间: free

主页: http://www.codeschool.com/courses/try-git

简介: Learn how to use Git by reviewing the basic concepts of Git version control. Try out this introductory course that was created with GitHub.

Introduction to Recommender Systems (CourseraArchive) 3 个评论 关注

开始时间: 04/22/2022 持续时间: Unknown

主页: https://www.coursera.org/course/recsys

简介: This course introduces the concepts, applications, algorithms, programming, and design of recommender systems--software systems that recommend products or information, often based on extensive personalization. Learn how web merchants such as Amazon.com personalize product suggestions and how to apply the same techniques in your own systems!

Introduction to Computational Finance and Financial Econometrics (CourseraArchive) 2 个评论 关注

开始时间: 04/22/2022 持续时间: 10 weeks

主页: https://www.coursera.org/course/compfinance

简介: Learn mathematical and statistical tools and techniques used in quantitative and computational finance. Use the open source R statistical programming language to analyze financial data, estimate statistical models, and construct optimized portfolios. Analyze real world data and solve real world problems.