傀儡--Clown

Dream what you want to dream;be what you want to be ,you have only one life and one chance to do all the things you want to do!!

湖北

感兴趣的主题: 美图摄影 豆瓣 博客 搞笑 天蝎座 旅行 听歌

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Programming Languages (Coursera) 5 个评论 关注

开始时间: 待定 持续时间: Unknown

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

简介: Investigate the basic concepts behind programming languages, with a strong emphasis on the techniques and benefits of functional programming. Use the programming languages ML, Racket, and Ruby in ways that will teach you how the pieces of a language fit together to create more than the sum of the parts. Gain new software skills and the concepts needed to learn new languages on your own.

機器學習基石 (Machine Learning Foundations) (Coursera) 10 个评论 关注

开始时间: 09/08/2015 持续时间: 8 weeks

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

简介: Machine learning is the study that allows computers to adaptively improve their performance with experience accumulated from the data observed. The course teaches the most fundamental algorithmic, theoretical and practical tools that any user of machine learning needs to know. [機器學習旨在讓電腦能由資料中累積的經驗來自我進步。本課程將介紹各領域中的機器學習使用者都應該知道的基礎演算法、理論及實務工具。]

Information Theory (Coursera) 1 个评论 关注

开始时间: 待定 持续时间: Unknown

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

简介: This course is an introduction to information theory, which emphasizes fundamental concepts as well as analytical techniques. Specific topics include: Information Measures, The I-Measure, Zero-Error Data Compression, Weak Typicality, Strong Typicality, Discrete Memoryless Channels, etc.

Introduction to Computing 计算概论A (Coursera) 1 个评论 关注

开始时间: 09/15/2014 持续时间: 14 weeks

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

简介: 计算概论A是针对“信息科学技术学科一年级本科生”开设的一门专业基础主干课程。本课程的教学目标有二:其一,帮助学习者建立起“学习计算机科学技术知识所需的基本知识背景”;其二,帮助学习者“掌握计算机程序设计的基础知识”,培养学习者“独立设计计算机程序解决问题”的基本技能。

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

开始时间: 03/16/2015 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.

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