孙_walker

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StatLearning: Statistical Learning (Stanford Online) 3 个评论 关注

开始时间: 01/20/2014 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 (Coursera) 0 个评论 关注

开始时间: 08/31/2015 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 (edX) 1 个评论 关注

开始时间: 待定 持续时间: 5 weeks

主页: https://www.edx.org/course/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 (Coursera) 0 个评论 关注

开始时间: 08/24/2015 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 (edX) 1 个评论 关注

开始时间: 待定 持续时间: 5 weeks

主页: https://www.edx.org/course/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.

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