li_dongfang

上海 黄浦区

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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.

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.

Analytic Combinatorics, Part II (Coursera) 0 个评论 关注

开始时间: 03/29/2013 持续时间: 6 weeks

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

简介: This course teaches a calculus that enables precise quantitative predictions of large combinatorial structures. Part II introduces the symbolic method to derive functional relations among ordinary, exponential, and multivariate generating functions, and methods in complex analysis for deriving accurate asymptotics from the GF equations.

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!

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.

Neural Networks for Machine Learning (Coursera) 5 个评论 关注

开始时间: 待定 持续时间: 8 weeks

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

简介: Learn about artificial neural networks and how they're being used for machine learning, as applied to speech and object recognition, image segmentation, modeling language and human motion, etc. We'll emphasize both the basic algorithms and the practical tricks needed to get them to work well.

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.

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.

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.

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.

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