李建扣_机器学习

北京 海淀区

感兴趣的主题: 数据挖掘 机器学习 复杂网络 推荐系统

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Coding the Matrix: Linear Algebra through Computer Science Applications (Coursera) 9 个评论 关注

开始时间: 02/02/2015 持续时间: 10 weeks

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

简介: Learn the concepts and methods of linear algebra, and how to use them to think about computational problems arising in computer science. Coursework includes building on the concepts to write small programs and run them on real data.

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: 10/01/2012 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.

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!

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.

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.

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

Social Network Analysis (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/sna

简介: This course will use social network analysis, both its theory and computational tools, to make sense of the social and information networks that have been fueled and rendered accessible by the internet.

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.

Social and Economic Networks: Models and Analysis (Coursera) 3 个评论 关注

开始时间: 09/18/2015 持续时间: 9 weeks

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

简介: Learn how to model social and economic networks and their impact on human behavior. How do networks form, why do they exhibit certain patterns, and how does their structure impact diffusion, learning, and other behaviors? We will bring together models and techniques from economics, sociology, math, physics, statistics and computer science to answer these questions.

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