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. |
Machine Learning (CourseraArchive) 7 个评论 关注 开始时间: 04/22/2022 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: 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. |
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: |
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。] |
StatLearning: Statistical Learning (Stanford Online) 3 个评论 关注 开始时间: 04/22/2022 持续时间: 未知 主页: https://class.stanford.edu/courses/HumanitiesScience/StatLearning/Winter2014/about 简介: |
Probabilistic Graphical Models (CourseraArchive) 5 个评论 关注 开始时间: 04/22/2022 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. |