神剑傲州_靖仇

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感兴趣的主题: IT数码

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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.

Introduction to Probability - The Science of Uncertainty (edX) 3 个评论 关注

开始时间: 待定 持续时间: 16 weeks

主页: https://www.edx.org/course/introduction-probability-science-mitx-6-041x-0

简介: An introduction to probabilistic models, including random processes and the basic elements of statistical inference.

Artificial Intelligence for Robotics (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/cs373

简介: This course will cover probabilistic inference, planning and search, localization, tracking and control, all with a focus on robotics.

Linux System Administration Essentials (edX) 2 个评论 关注

开始时间: 待定 持续时间: 未知

主页: https://www.edx.org/course/linux-system-administration-essentials-linuxfoundationx-lfs201x

简介: Master the skills and get Linux certified for in-demand sysadmin jobs.

 

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.

A Brief History of Humankind (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/humankind

简介: The course surveys the entire length of human history, from the evolution of various human species in the Stone Age up to the political and technological revolutions of the twenty-first century.

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.

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。]

機器學習技法 (Machine Learning Techniques) (Coursera) 2 个评论 关注

开始时间: 11/10/2015 持续时间: 8 weeks

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

简介: The course extends the fundamental tools in "Machine Learning Foundations" to powerful and practical models by three directions, which includes embedding numerous features, combining predictive features, and distilling hidden features. [這門課將先前「機器學習基石」課程中所學的基礎工具往三個方向延伸為強大而實用的工具。這三個方向包括嵌入大量的特徵、融合預測性的特徵、與萃取潛藏的特徵。]

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