## wz125漂流者北京 西城区 1个粉丝 |

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 (edX) 1 个评论 关注
主页: https://www.edx.org/course/uc-berkeley/stat2-2x/introduction-statistics/685 简介: An introduction to probability, with the aim of developing probabilistic intuition as well as techniques needed to analyze simple random samples. |

Introduction to Statistics: Inference (edX) 1 个评论 关注
主页: https://www.edx.org/course/uc-berkeley/stat2-3x/introduction-statistics/825 简介: An introduction to statistical ideas and methods commonly used to make valid conclusions based on data from random samples. |

Coding the Matrix: Linear Algebra through Computer Science Applications (Coursera) 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 (Coursera) 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 (Coursera) 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 (Coursera) 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 (Coursera) 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 (Coursera) 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! |