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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.

Design of Computer Programs (Udacity) 4 个评论 关注

开始时间: 随时 持续时间: 自主

主页: https://www.udacity.com/course/cs212

简介: Learn new concepts, patterns, and methods that will expand your programming abilities, helping move you from a novice to an expert programmer.

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.

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 Parallel Programming (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/cs344

简介: You'll master the fundamentals of massively parallel computing by using CUDA C/C++ to program modern GPUs. You'll learn the GPU programming model and architecture, key algorithms and parallel programming patterns, and optimization techniques. Your assignments will illustrate these concepts through image processing applications, but this is a parallel computing course and what you learn will translate to any application domain. Most of all we hope you'll learn how to think in parallel.

Heterogeneous Parallel Programming (Coursera) 4 个评论 关注

开始时间: 01/12/2015 持续时间: 9 weeks

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

简介: This course teaches the use of CUDA/OpenCL, OpenACC, and MPI for programming heterogeneous parallel computing systems. It is application oriented and only introduces necessary technological knowledge to solidify understanding.

Principles of Economics for Scientists (Coursera) 2 个评论 关注

开始时间: 待定 持续时间: Unknown

主页: https://www.coursera.org/course/econ1scientists

简介: Quantitative and model-based introduction to basic ideas in economics, and applications to a wide range of real world problems.

The Hardware/Software Interface (Coursera) 7 个评论 关注

开始时间: 06/30/2014 持续时间: 8 weeks

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

简介: Examines key computational abstraction levels below modern high-level languages. From Java/C to assembly programming, to basic processor and system organization.

C++ For C Programmers (Coursera) 2 个评论 关注

开始时间: 待定 持续时间: Unknown

主页: https://www.coursera.org/course/cplusplus4c

简介: This course is for experienced C programmers who want to program in C++. The examples and exercises require a basic understanding of algorithms and object-oriented software.