Machine Learning Specialization

开始时间: 03/28/2020 持续时间: Unknown

所在平台: Coursera专项课程

课程类别: 计算机科学

大学或机构: CourseraNew

   

课程主页: https://www.coursera.org/specializations/machine-learning

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课程详情

This Specialization from leading researchers at the University of Washington introduces you to the exciting, high-demand field of Machine Learning. Through a series of practical case studies, you will gain applied experience in major areas of Machine Learning including Prediction, Classification, Clustering, and Information Retrieval. You will learn to analyze large and complex datasets, create systems that adapt and improve over time, and build intelligent applications that can make predictions from data.

机器学习专业:华盛顿大学领先研究人员的该专业向您介绍了令人兴奋的,需求旺盛的机器学习领域。通过一系列实际案例研究,您将获得机器学习主要领域的应用经验,包括预测,分类,聚类和信息检索。您将学习分析大型和复杂的数据集,创建随时间推移而适应和改进的系统,以及构建可以根据数据进行预测的智能应用程序。

课程大纲

Machine Learning Foundations: A Case Study Approach
Machine Learning: Regression
Machine Learning: Classification
Machine Learning: Clustering & Retrieval

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课程简介

华盛顿大学机器学习专项课程系列(Machine Learning Specialization),这个系列课程包含4门子课程,分别是 机器学习基础:案例研究 , 机器学习:回归 , 机器学习:分类, 机器学习:聚类与检索,感兴趣的同学可以关注: Build Intelligent Applications-Master machine learning fundamentals in four hands-on courses.

课程标签

机器学习公开课 机器学习专项课程 机器学习 机器学习课程 华盛顿大学

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