Learners will implement and apply predictive, classification, clustering, and information retrieval machine learning algorithms to real datasets throughout each course in the specialization. They will walk away with applied machine learning and Python programming experience.
Machine Learning 專項課程
Build Intelligent Applications。 Master machine learning fundamentals in five hands-on courses.
本專項課程介紹
This Specialization provides a case-based introduction to the exciting, high-demand field of machine learning. You’ll learn to analyze large and complex datasets, build applications that can make predictions from data, and create systems that adapt and improve over time. In the final Capstone Project, you’ll apply your skills to solve an original, real-world problem through implementation of machine learning algorithms.
製作方：
行業合作夥伴：
4 courses
按照建議的順序或選擇您自己的順序。
項目
旨在幫助您實踐和應用所學到的技能。
證書
在您的簡歷和領英中展示您的新技能。
項目概覽
課程
- Intermediate Specialization.
- Some related experience required.
第 1 門課程
机器学习基础：案例研究
- 課程學習時間
- 6周的学习，5-8小时／周
- 字幕
- 英語（English）, 韓語, 越南語, 中文（簡體）
課程概述
你是否好奇数据可以告诉你什么？你是否想在关于机器学习促进商业的核心方式上有深层次的理解？你是否想能同专家们讨论关于回归，分类，深度学习以及推荐系统的一切？在这门课上，你将会通过一系列实际案例您可以選擇只參加本課程。 了解更多。
第 2 門課程
第 3 門課程
分类
- 課程學習時間
- 7 weeks of study, 5-8 hours/week
- 字幕
- 英語（English）
課程概述
Case Studies: Analyzing Sentiment & Loan Default Prediction In our case study on analyzing sentiment, you will create models that predict a class (positive/negative sentiment) from input features (text of the reviews, user profile information,...)您可以選擇只參加本課程。 了解更多。
第 4 門課程
聚类与检索
- 課程學習時間
- 6 weeks of study, 5-8 hours/week
- 字幕
- 英語（English）
課程概述
Case Studies: Finding Similar Documents A reader is interested in a specific news article and you want to find similar articles to recommend. What is the right notion of similarity? Moreover, what if there are millions of other documents? Each tim您可以選擇只參加本課程。 了解更多。
製作方
Emily Fox
Amazon Professor of Machine Learning
Carlos Guestrin
Amazon Professor of Machine Learning
FAQs
More questions? Visit the Learner Help Center.
