东坡Beyond我为心狂北京 海淀区 感兴趣的主题: IT数码1个粉丝 |
Introduction to Statistics (Udacity) 3 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/st101 简介: Statistics is about extracting meaning from data. In this class, we will introduce techniques for visualizing relationships in data and systematic techniques for understanding the relationships using mathematics. |
Natural Language Processing (CourseraArchive) 7 个评论 关注 开始时间: 04/22/2022 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. |
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. |
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: This is an introductory-level course in supervised learning, with a focus on regression and classification methods. The syllabus includes: linear and polynomial regression, logistic regression and linear discriminant analysis; cross-validation and the bootstrap, model selection and regularization methods (ridge and lasso); nonlinear models, splines and generalized additive models; tree-based methods, random forests and boosting; support-vector machines. Some unsupervised learning methods are discussed: principal components and clustering (k-means and hierarchical). |
Introduction to Probability - The Science of Uncertainty (EdxArchive) 3 个评论 关注 开始时间: 04/22/2022 持续时间: 16 weeks 主页: https://www.edx.org/archive/introduction-probability-science-mitx-6-041x-0 简介: An introduction to probabilistic models, including random processes and the basic elements of statistical inference. |
Introduction to Mathematical Thinking (CourseraArchive) 2 个评论 关注 开始时间: 04/22/2022 持续时间: 10 weeks 主页: https://www.coursera.org/course/maththink 简介: Learn how to think the way mathematicians do - a powerful cognitive process developed over thousands of years. |
Algorithms, Part II (CourseraArchive) 5 个评论 关注 开始时间: 04/22/2022 持续时间: 6 weeks 主页: https://www.coursera.org/course/algs4partII 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. |
Introduction to Natural Language Processing (CourseraArchive) 0 个评论 关注 开始时间: 04/22/2022 持续时间: 12 weeks 主页: https://www.coursera.org/course/nlpintro 简介: This course provides an introduction to the field of Natural Language Processing, including topics like Parsing, Semantics, Question Answering, and Sentiment Analysis. |
Miracles of Human Language: An Introduction to Linguistics (CourseraArchive) 0 个评论 关注 开始时间: 04/22/2022 持续时间: 6 weeks 主页: https://www.coursera.org/course/humanlanguage 简介: Everywhere, every day, everybody uses language. There is no human society, no matter how small or how isolated, which does not employ a language that is rich and diverse. This course introduces you to the linguistics, featuring interviews with well-known linguists and with speakers of many different languages. Join us to explore the miracles of human language! |