蒋勇NLP

安徽 合肥

3个粉丝

蒋勇NLP 的课程评论

蒋勇NLP 评论了课程: Foundations of Computer Graphics

2013-06-06 20:40

Professor是印度老师,口音有些不习惯。全课程作业只有四个project,C++下OpenGL和GLSL编程,据说是真正的berkeley校内课程的直接搬家online,俺曾经一度迷恋图形学中各种炫酷的3D效果,幻想以后制作Ogre引擎下光线迷离的游戏,最后还是选择了NLP和ML作为以后学习的方向。图形学学的不好,仅仅及格,只能支持了!

蒋勇NLP 评论了课程: Introduction to Statistics: Inference

2013-06-06 20:27

这门课是berkeley统计学导论系列课程之三。本来好像是上月底开的,后来改了?亦或是我记错了。。期待7月份的开课!

蒋勇NLP 评论了课程: Introduction to Statistics: Probability

2013-06-06 20:26

统计学导论的第二门课程,看课程名字就知道主要讲概率,如果说统计学导论1内容是高中或者大一上课程,这门课应该是大一下课程吧,课程内容比国内的数理统计课程要多,quiz有尝试次数限制。不得不说edx的UI做的真心赞,就是deadline不好把握,一不小心时间就过了。。。

蒋勇NLP 评论了课程:

2013-06-06 20:15

这门课是我拿到第一张MOOC的证书,berkeley的这位女老师把统计学导论课程分为三部分,这个是第一部分,内容很简单,通过很容易,主要就是介绍统计概率最基本的知识。edx的MOOC入门课,推荐!

蒋勇NLP 评论了课程: Introduction to Artificial Intelligence

2013-06-01 00:59

承接wzyer大牛的说法,这门课是google副总裁和AI:a modern approach书的作者对MOOC的第一次尝试,原课程在这https://www.ai-class.com/后来移到udacity。AI入门课,据说第一次开课吸引五万八千人报名。入门课,介绍人工智能的各个方面,知识点讲的很全面也很通俗易懂。

蒋勇NLP 评论了课程: Natural Language Processing

2013-05-25 19:34

collins大牛的课程,大赞啊。。从NLP的基础语言模型讲到机器学习的一些算法,每个算法讲解都很细致,并举很好的例子来进行阐述,每个讲义都有note,当时学习时候并没有仔细学,现在正在复习ing。。

蒋勇NLP 评论了课程: Artificial Intelligence

2013-05-25 19:27

作为对AI感兴趣的非CS童鞋,这门课让我深深爱上了CS,蛋蛋老师讲课相当有激,他是我见过第二个讲课这么有激情的老师(第一个是哈弗CS50计算机科学导论的 Malan),课程的Quiz非常赞,PA是实现有趣游戏的一些算法,通过cs188.1x全部的学习就可以完成一个自动吃豆子(Pac-Man)的游戏。这门课也是berkeley的cs188课程的上半部分Planning,下半部分是机器学习,非常期待,但是老师说明年年初才能上线。。略伤心ing

蒋勇NLP 评论了课程: Machine Learning

2013-05-13 12:47

目前在上,机器学习入门课程。。。

蒋勇NLP 评论了课程: Introduction to Computer Science

2013-05-13 12:32

这门课很好啊,也是我在Udacity上面通过的第一门课,主要讲的是搜索引擎的基本的算法和制作思路。那个助教很有趣,记得学完pagerank后他对professor说,我要赶快给我的搜索引擎公司起个名字,好像就叫peter吧~

蒋勇NLP 评论了课程: Introduction to Mathematical Thinking

2013-05-13 04:24

同为MOOC爱好者来打个酱油,昨天刚刚收到完成课程的certificate,这门课是俺通过的第一门stanford的公开课,老师在教学方面很赞,题目出的也很好,偶尔比较闹心的就是讲义(左手写的)的字不怎么认识。。。

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蒋勇NLP 关注的课程

Introduction to Mathematical Thinking (Coursera) 2 个评论 关注

开始时间: 09/21/2015 持续时间: 10 weeks

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

简介: Learn how to think the way mathematicians do - a powerful cognitive process developed over thousands of years.

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.

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.

Calculus: Single Variable (Coursera) 4 个评论 关注

开始时间: 待定 持续时间: Unknown

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

简介: This course provides a brisk, entertaining treatment of differential and integral calculus, with an emphasis on conceptual understanding and applications to the engineering, physical, and social sciences.

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.

Ruby (Codecademy) 2 个评论 关注

开始时间: 随时 持续时间: free

主页: http://www.codecademy.com/zh/tracks/ruby

简介: Ruby is an incredibly popular programming language that helps power websites all over the world. Learn how to create a number of useful applications quickly and easily.

Functional Programming Principles in Scala (Coursera) 7 个评论 关注

开始时间: 09/15/2014 持续时间: 7 weeks

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

简介: Learn about functional programming, and how it can be effectively combined with object-oriented programming. Gain practice in writing clean functional code, using the Scala programming language.

Probabilistic Graphical Models (Coursera) 5 个评论 关注

开始时间: 04/08/2013 持续时间: 11 weeks

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

简介: In this class, you will learn the basics of the PGM representation and how to construct them, using both human knowledge and machine learning techniques.

Artificial Intelligence (edX) 6 个评论 关注

开始时间: 待定 持续时间: 12 weeks

主页: https://www.edx.org/course/artificial-intelligence-uc-berkeleyx-cs188-1x

简介: UC Berkeley's upper division course CS188: Introduction to Artificial Intelligence now available to everyone online.
 
"Nothing short of awesome. This is a top-notch class that teaches you a lot of important concepts in optimization and AI, while making you feel like you're on a wonderful adventure of discovery and fun." edX student review

Introduction to Artificial Intelligence (Udacity) 2 个评论 关注

开始时间: 随时 持续时间: 自主

主页: https://www.udacity.com/course/cs271

简介: The objective of this class is to teach you modern AI. You will learn about the basic techniques and tricks of the trade. We also aspire to excite you about the field of AI.

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