开始时间: 06/21/2022 持续时间: Approximately 7 months to complete Suggested pace of 3 hours/week
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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
课程评论：没有评论
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。Course: 1
Course Link: https://www.coursera.org/learn/ml-foundations?specialization=machine-learning
Title:Machine Learning Foundations: A Case Study Approach
Description:Do you have data and wonder what it can tell you? Do you need a deeper understanding of the core ways in which machine learning can improve your business? Do you want to be able to converse with specialists about anything from regression and classification to deep learning and recommender systems?
Course: 2
Course Link: https://www.coursera.org/learn/ml-regression?specialization=machine-learning
Title:Machine Learning: Regression
Description:Case Study - Predicting Housing Prices
Course: 3
Course Link: https://www.coursera.org/learn/ml-classification?specialization=machine-learning
Title:Machine Learning: Classification
Description:Case Studies: Analyzing Sentiment & Loan Default Prediction
Course: 4
Course Link: https://www.coursera.org/learn/ml-clustering-and-retrieval?specialization=machine-learning
Title:Machine Learning: Clustering & Retrieval
Description:Case Studies: Finding Similar Documents
