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河北 秦皇岛

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Algorithms (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/cs215

简介: Ever played the Kevin Bacon game? This class will show you how it works by giving you an introduction to the design and analysis of algorithms, enabling you to discover how individuals are connected.

Data Analysis (Coursera) 2 个评论 关注

开始时间: 10/28/2013 持续时间: 8 weeks

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

简介: Learn about the most effective data analysis methods to solve problems and achieve insight.

Python (Codecademy) 5 个评论 关注

开始时间: 随时 持续时间: free

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

简介: Learn the fundamentals of Python and dynamic programming.

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.

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.

Natural Language Processing (Coursera) 3 个评论 关注

开始时间: 待定 持续时间: Unknown

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.

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.

Machine Learning (Coursera) 7 个评论 关注

开始时间: 待定 持续时间: Unknown

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!

Automata (Coursera) 3 个评论 关注

开始时间: 09/12/2015 持续时间: 6 weeks

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

简介: This course covers finite automata, context-free grammars, Turing machines, undecidable problems, and intractable problems (NP-completeness).

機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations (Coursera) 0 个评论 关注

开始时间: 07/01/2018 持续时间: Unknown

主页: https://www.coursera.org/learn/ntumlone-mathematicalfoundations

简介: 台湾大学林轩田老师的 機器學習基石上 (Machine Learning Foundations)—Mathematical Foundations。如果有一定的基础或者学完了Andrew Ng老师的机器学习课程,这门机器学习基石上-数学基础可以作为进阶课程。林老师早期推出的两门机器学习课程口碑和难度均有:机器学习基石 和 机器学习技法 ,现在重组为上和下,非常值得期待

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