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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
课程名称：机器学习专业 课程概述：该专业由华盛顿大学的领先研究人员提供，带您进入一个充满活力且需求旺盛的机器学习领域。通过一系列实际案例研究，您将获得在机器学习主要领域（包括预测、分类、聚类和信息检索）中的应用经验。课程将教您如何分析大型和复杂的数据集，创建能够随时间自我适应和改进的系统，以及构建能够根据数据进行预测的智能应用。 课程大纲： 1. **机器学习基础：案例研究方法** 课程链接: [点击这里](https://www.coursera.org/learn/ml-foundations) 描述：您是否有数据并想知道它能告诉您什么？ 需要更深入地了解核心方法... 免费注册。 2. **机器学习：回归** 课程链接: [点击这里](https://www.coursera.org/learn/ml-regression) 描述：案例研究-预测房价。在我们的第一个案例研究中，您将... 免费注册。 3. **机器学习：分类** 课程链接: [点击这里](https://www.coursera.org/learn/ml-classification) 描述：案例研究：情感分析与贷款违约预测。在我们的情感分析案例研究中... 免费注册。 4. **机器学习：聚类与信息检索** 课程链接: [点击这里](https://www.coursera.org/learn/ml-clustering-and-retrieval) 描述：案例研究：寻找相似文档。一位读者对特定新闻文章感兴趣，而您希望... 免费注册。 参与这个专业课程，您将获得宝贵的机器学习实践经验，帮助您在这个快速发展的领域中脱颖而出。
Course Link: https://www.coursera.org/learn/ml-foundations
Name:Machine Learning Foundations: A Case Study Approach
Description:Offered by University of Washington. Do you have data and wonder what it can tell you? Do you need a deeper understanding of the core ways ... Enroll for free.
Course Link: https://www.coursera.org/learn/ml-regression
Name:Machine Learning: Regression
Description:Offered by University of Washington. Case Study - Predicting Housing Prices In our first case study, predicting house prices, you will ... Enroll for free.
Course Link: https://www.coursera.org/learn/ml-classification
Name:Machine Learning: Classification
Description:Offered by University of Washington. Case Studies: Analyzing Sentiment & Loan Default Prediction In our case study on analyzing sentiment, ... Enroll for free.
Course Link: https://www.coursera.org/learn/ml-clustering-and-retrieval
Name:Machine Learning: Clustering & Retrieval
Description:Offered by University of Washington. Case Studies: Finding Similar Documents A reader is interested in a specific news article and you want ... Enroll for free.
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。
