Machine Learning Specialization

Starts May 28

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:

courses
4 courses

Follow the suggested order or choose your own.

projects
Projects

Designed to help you practice and apply the skills you learn.

certificates
Certificates

Highlight your new skills on your resume or LinkedIn.

Projects Overview

Courses
Intermediate Specialization.
Some related experience required.
  1. 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
  2. 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

  3. 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,.
  4. 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? Each

Creators

  • University of Washington

    The University of Washington is a national and international leader in the core fields that are driving data science: computer science, statistics, human-centered design, and applied math.

    Founded in 1861, the University of Washington is one of the oldest state-supported institutions of higher education on the West Coast and is one of the preeminent research universities in the world.

  • Emily Fox

    Emily Fox

    Amazon Professor of Machine Learning
  • Carlos Guestrin

    Carlos Guestrin

    Amazon Professor of Machine Learning

FAQs