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 Specialization
Build Intelligent Applications. Master machine learning fundamentals in five hands-on courses.
About This Specialization
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.
Created by:
Industry Partners:
4 courses
Follow the suggested order or choose your own.
Projects
Designed to help you practice and apply the skills you learn.
Certificates
Highlight your new skills on your resume or LinkedIn.
Projects Overview
Courses
- Intermediate Specialization.
- Some related experience required.
COURSE 1
机器学习基础：案例研究
Upcoming session: May 28- Commitment
- 6周的学习，5-8小时／周
- Subtitles
- English, Korean, Vietnamese, Chinese (Simplified)
About the Course
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You can choose to take this course only. Learn more.
COURSE 2
机器学习：回归
Upcoming session: May 28- Commitment
- 6周，5-8小时／周
- Subtitles
- English
About the Course
You can choose to take this course only. Learn more.
COURSE 3
分类
Upcoming session: May 28- Commitment
- 7 weeks of study, 5-8 hours/week
- Subtitles
- English
About the Course
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,.You can choose to take this course only. Learn more.
COURSE 4
聚类与检索
Upcoming session: May 28- Commitment
- 6 weeks of study, 5-8 hours/week
- Subtitles
- English
About the Course
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? EachYou can choose to take this course only. Learn more.
Creators
Emily Fox
Amazon Professor of Machine Learning
Carlos Guestrin
Amazon Professor of Machine Learning
FAQs
More questions? Visit the Learner Help Center.
