Machine Learning (CourseraArchive) 7 个评论 关注

开始时间: 04/22/2022 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!

機器學習基石下 (Machine Learning Foundations)---Algorithmic Foundations (CourseraArchive) 1 个评论 关注

开始时间: 04/22/2022 持续时间: Unknown

主页: https://www.coursera.org/archive/ntumlone-algorithmicfoundations

简介: 台湾大学林轩田老师的机器学习基石下-算法基础（Machine Learning Foundations---Algorithmic Foundations）。如果有一定的基础或者学完了Andrew Ng老师的机器学习课程，机器学习基石上和下可以作为进阶课程。林老师早期推出的两门机器学习课程口碑和难度均有：机器学习基石 和 机器学习技法 ，现在重组为上和下，非常值得期待

Algorithms: Design and Analysis, Part 2 (CourseraArchive) 4 个评论 关注

开始时间: 04/22/2022 持续时间: 6 weeks

主页: https://www.coursera.org/course/algo2

简介: In this course you will learn several fundamental principles of advanced algorithm design: greedy algorithms and applications; dynamic programming and applications; NP-completeness and what it means for the algorithm designer; the design and analysis of heuristics; and more.

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

开始时间: 04/22/2022 持续时间: 16 weeks

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

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

Data Analysis and Statistical Inference (CourseraArchive) 1 个评论 关注

开始时间: 04/22/2022 持续时间: Unknown

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

简介: This course introduces you to the discipline of statistics as a science of understanding and analyzing data. You will learn how to effectively make use of data in the face of uncertainty: how to collect data, how to analyze data, and how to use data to make inferences and conclusions about real world phenomena.