Introduction to Statistics (Udacity) 3 个评论 关注

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.

Probability and Statistics (Khan Academy) 1 个评论 关注

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

简介: Introduction of the basics of Probability and Statistics

Introduction to Statistics: Probability (EdxArchive) 1 个评论 关注

主页: https://www.edx.org/archive/uc-berkeley/stat2-2x/introduction-statistics/685

简介:

Introduction to Statistics: Inference (EdxArchive) 1 个评论 关注

主页: https://www.edx.org/archive/uc-berkeley/stat2-3x/introduction-statistics/825

简介:

Coding the Matrix: Linear Algebra through Computer Science Applications (CourseraArchive) 9 个评论 关注

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

简介: Learn the concepts and methods of linear algebra, and how to use them to think about computational problems arising in computer science. Coursework includes building on the concepts to write small programs and run them on real data.

Calculus One (CourseraArchive) 4 个评论 关注

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.

Algorithms: Design and Analysis, Part 1 (CourseraArchive) 5 个评论 关注

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

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.

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

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.

Neural Networks for Machine Learning (CourseraArchive) 5 个评论 关注

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

简介: Learn about artificial neural networks and how they're being used for machine learning, as applied to speech and object recognition, image segmentation, modeling language and human motion, etc. We'll emphasize both the basic algorithms and the practical tricks needed to get them to work well.

Machine Learning (CourseraArchive) 7 个评论 关注

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!