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). |
Data Mining Capstone (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/dataminingcapstone 简介: Apply the learned algorithms and techniques for data mining from the previous courses in the Data Mining Specialization to solve interesting real-world data mining challenges. |
Scalable Machine Learning (EdxArchive) 1 个评论 关注 开始时间: 04/22/2022 持续时间: 5 weeks 主页: https://www.edx.org/archive/scalable-machine-learning-uc-berkeleyx-cs190-1x 简介: Learn the underlying principles required to develop scalable machine learning pipelines and gain hands-on experience using Apache Spark. |
Cloud Computing Applications (CourseraArchive) 0 个评论 关注 开始时间: 04/22/2022 持续时间: 5 weeks 主页: https://www.coursera.org/course/cloudapplications 简介: Learn how to use the cloud and write programs for data analytics. |
Introduction to Big Data with Apache Spark (EdxArchive) 1 个评论 关注 开始时间: 04/22/2022 持续时间: 5 weeks 主页: https://www.edx.org/archive/introduction-big-data-apache-spark-uc-berkeleyx-cs100-1x 简介: Learn how to apply data science techniques using parallel programming in Apache Spark to explore big (and small) data. |