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LeoLeoLiang 的课程评论


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StatLearning: Statistical Learning (Stanford Online) 3 个评论 关注

开始时间: 01/20/2014 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).

Probability and Statistics (Khan Academy) 1 个评论 关注

开始时间: 随时 持续时间: 自主

主页: https://www.khanacademy.org/math/probability

简介: Introduction of the basics of Probability and Statistics

Calculus One (Coursera) 4 个评论 关注

开始时间: 01/24/2014 持续时间: 14 weeks

主页: https://www.coursera.org/course/calc1

简介: Calculus One is a first introduction to differential and integral calculus, emphasizing engaging examples from everyday life.

Machine Learning (Coursera) 7 个评论 关注

开始时间: 待定 持续时间: Unknown

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

简介: Why write programs when the computer can instead learn them from data? In this class you will learn how to make this happen, from the simplest machine learning algorithms to quite sophisticated ones. Enjoy!

Introduction to Statistics (Udacity) 3 个评论 关注

开始时间: 随时 持续时间: 自主

主页: https://www.udacity.com/course/st101

简介: Statistics is about extracting meaning from data. In this class, we will introduce techniques for visualizing relationships in data and systematic techniques for understanding the relationships using mathematics.

Introduction to Probability - The Science of Uncertainty (edX) 3 个评论 关注

开始时间: 待定 持续时间: 16 weeks

主页: https://www.edx.org/course/introduction-probability-science-mitx-6-041x-0

简介: An introduction to probabilistic models, including random processes and the basic elements of statistical inference.

Elementary Statistics (Udacity) 2 个评论 关注

开始时间: 随时 持续时间: 自主

主页: https://www.udacity.com/course/st095

简介: We live in a time of unprecedented access to information...data. Whether researching the best school, job, or relationship, the Internet has thrown open the doors to vast pools of data. Statistics are simply objective and systematic methods for describing and interpreting information so that you may make the most informed decisions about life.

Algorithms, Part I (Coursera) 6 个评论 关注

开始时间: 01/22/2016 持续时间: 6 weeks

主页: https://www.coursera.org/course/algs4partI

简介: This course covers the essential information that every serious programmer needs to know about algorithms and data structures, with emphasis on applications and scientific performance analysis of Java implementations. Part I covers basic iterable data types, sorting, and searching algorithms.