Natural Language Processing (CourseraArchive) 3 个评论 关注

开始时间: 04/22/2022 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.

Game Theory (CourseraArchive) 1 个评论 关注

开始时间: 04/22/2022 持续时间: 9 weeks

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

简介: The course covers the basics: representing games and strategies, the extensive form (which computer scientists call game trees), repeated and stochastic games, coalitional games, and Bayesian games (modeling things like auctions).

Games without Chance: Combinatorial Game Theory (CourseraArchive) 1 个评论 关注

开始时间: 04/22/2022 持续时间: Unknown

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

简介: This course will cover the mathematical theory and analysis of simple games without chance moves.

Machine Learning (CourseraArchive) 29 个评论 关注

开始时间: 04/22/2022 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 (CourseraArchive) 5 个评论 关注

开始时间: 04/22/2022 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: 04/22/2022 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: 04/22/2022 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 (EdxArchive) 6 个评论 关注

开始时间: 04/22/2022 持续时间: 12 weeks

主页: https://www.edx.org/archive/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

Learning From Data (EdxArchive) 1 个评论 关注

开始时间: 04/22/2022 持续时间: 10 weeks

主页: https://www.edx.org/archive/learning-data-caltechx-cs1156x

简介: Introductory Machine Learning course covering theory, algorithms and applications. Our focus is on real understanding, not just "knowing."

機器學習基石 (Machine Learning Foundations) (CourseraArchive) 10 个评论 关注

开始时间: 04/22/2022 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。]