Machine Learning 전문 분야

Nov 15에 시작

Machine Learning 전문 분야

Build Intelligent Applications. Master machine learning fundamentals in four hands-on courses.

전문분야 소개

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.

생성자:

산업 파트너:

courses
4 courses

제시된 순서를 따르거나 직접 선택하십시오.

projects
프로젝트

습득한 역량을 연습하고 적용해 볼 수 있도록 설계되었습니다.

certificates
수료증

이력서 또는 Linkedln에 새로운 기술을 강조하십시오.

프로젝트 개요

강좌
Intermediate Specialization.
Some related experience required.
  1. 강좌 1

    Machine Learning Foundations: A Case Study Approach

    약정
    6 weeks of study, 5-8 hours/week
    자막
    영어, 한국어, 베트남어, 중국어 (간체자)

    강좌 소개

    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 classific
  2. 강좌 2

    Machine Learning: Regression

    약정
    6 weeks of study, 5-8 hours/week
    자막
    영어

    강좌 소개

    Case Study - Predicting Housing Prices In our first case study, predicting house prices, you will create models that predict a continuous value (price) from input features (square footage, number of bedrooms and bathrooms,...). This is jus
  3. 강좌 3

    Machine Learning: Classification

    약정
    7 weeks of study, 5-8 hours/week
    자막
    영어

    강좌 소개

    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. 강좌 4

    Machine Learning: Clustering & Retrieval

    약정
    6 weeks of study, 5-8 hours/week
    자막
    영어

    강좌 소개

    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

제작자

  • 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