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 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.

Software Defined Networking (CourseraArchive) 0 个评论 关注

开始时间: 04/22/2022 持续时间: Unknown

主页: https://www.coursera.org/course/sdn1

简介: In this course, you will learn about software defined networking and how it is changing the way communications networks are managed, maintained, and secured.

Python for Genomic Data Science (CourseraArchive) 0 个评论 关注

开始时间: 04/22/2022 持续时间: 4 weeks

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

简介: This class provides an introduction to the Python programming language and the iPython notebook. This is the third course in the Genomic Big Data Science Specialization from Johns Hopkins University.

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.