|
Machine Learning (CourseraArchive) 29 个评论 关注 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. |
|
Natural Language Processing (CourseraArchive) 7 个评论 关注 主页: https://www.coursera.org/course/nlangp 简介: Have you ever wondered how to build a system that automatically translates between languages? Or a system that can understand natural language instructions from a human? This class will cover the fundamentals of mathematical and computational models of language, and the application of these models to key problems in natural language processing. |
|
Natural Language Processing (CourseraArchive) 3 个评论 关注 主页: https://www.coursera.org/course/nlp 简介: In this class, you will learn fundamental algorithms and mathematical models for processing natural language, and how these can be used to solve practical problems. |
|
An Introduction to Interactive Programming in Python (CourseraArchive) 5 个评论 关注 主页: https://www.coursera.org/course/interactivepython 简介: This course is designed to be a fun introduction to the basics of programming in Python. Our main focus will be on building simple interactive games such as Pong, Blackjack and Asteroids. |
|
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! |
|
StatLearning: Statistical Learning (Stanford Online) 3 个评论 关注 主页: https://class.stanford.edu/courses/HumanitiesScience/StatLearning/Winter2014/about 简介: |
|
CVX101: Convex Optimization (Stanford Online) 1 个评论 关注 主页: https://class.stanford.edu/courses/Engineering/CVX101/Winter2014/about 简介: |
|
Introduction to Data Science (CourseraArchive) 5 个评论 关注 主页: https://www.coursera.org/course/datasci 简介: Join the data revolution. Companies are searching for data scientists. This specialized field demands multiple skills not easy to obtain through conventional curricula. Introduce yourself to the basics of data science and leave armed with practical experience extracting value from big data. |
|
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: |
