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Introduction to Computer Science (Udacity) 6 个评论 关注

开始时间: 随时 持续时间: 自主

主页: https://www.udacity.com/course/cs101

简介: In this course you will learn key concepts in computer science and learn how to write your own computer programs in the context of building a web crawler.

Natural Language Processing (Coursera) 7 个评论 关注

开始时间: 02/24/2013 持续时间: 10 weeks

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.

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.

Introduction to Hadoop and MapReduce (Udacity) 1 个评论 关注

开始时间: 随时 持续时间: 自主

主页: https://www.udacity.com/course/ud617

简介: The Apache™ Hadoop® project develops open-source software for reliable, scalable, distributed computing. Learn the fundamental principles behind it, and how you can use its power to make sense of your Big Data.

The Data Scientist’s Toolbox (Coursera) 1 个评论 关注

开始时间: 12/07/2015 持续时间: 4 weeks

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

简介: Get an overview of the data, questions, and tools that data analysts and data scientists work with. This is the first course in the Johns Hopkins Data Science Specialization.

R Programming (Coursera) 2 个评论 关注

开始时间: 12/07/2015 持续时间: 4 weeks

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

简介: Learn how to program in R and how to use R for effective data analysis. This is the second course in the Johns Hopkins Data Science Specialization.

Core Concepts in Data Analysis (Coursera) 0 个评论 关注

开始时间: 待定 持续时间: Unknown

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

简介: Learn both theory and application for basic methods that have been invented either for developing new concepts – principal components or clusters, or for finding interesting correlations – regression and classification. This is preceded by a thorough analysis of 1D and 2D data.

機率 (Coursera) 3 个评论 关注

开始时间: 08/31/2013 持续时间: 10 weeks

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

简介: 這是一個機率的入門課程,著重的是教授機率基本概念。另外我們的作業將搭配台大電機系所開發的多人競技線上遊戲方式,讓同學在遊戲中快樂的學習,快速培養同學們對於機率的洞察力與應用能力。

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

开始时间: 04/12/2013 持续时间: 5 weeks

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.

Machine Learning (Coursera) 28 个评论 关注

开始时间: 待定 持续时间: Unknown

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.