Специализация Machine Learning

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

Об этой специализации

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.

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Партнеры курса:

4 courses

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Проекты

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Сертификаты

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Обзор проектов

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.

Курсы

Intermediate Specialization.: Some related experience required.

1-Й КУРС
Machine Learning Foundations: A Case Study Approach
Выполнение
6 weeks of study, 5-8 hours/week
Субтитры
English, Korean, Vietnamese, Chinese (Simplified)
О курсе
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 classificat
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2-Й КУРС
Machine Learning: Regression
Выполнение
6 weeks of study, 5-8 hours/week
Субтитры
English
О курсе
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 just
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3-Й КУРС
Machine Learning: Classification
Выполнение
7 weeks of study, 5-8 hours/week
Субтитры
English
О курсе
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,...
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4-Й КУРС
Machine Learning: Clustering & Retrieval
Выполнение
6 weeks of study, 5-8 hours/week
Субтитры
English
О курсе
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 ti
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Авторы

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
Amazon Professor of Machine Learning
Carlos Guestrin
Amazon Professor of Machine Learning

FAQs

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