Spécialisation Machine Learning

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

À propos de cette Spécialisation

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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4 courses

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Projets

Conçu pour vous aider à vous exercer et à appliquer les compétences que vous avez acquises.

Certificats

Mettez en évidence vos nouvelles compétences sur votre CV ou sur LinkedIn.

Vue d'ensemble des projets

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.

Cours

Intermediate Specialization.: Some related experience required.

COURS 1
Machine Learning Foundations: A Case Study Approach
Engagement
6 weeks of study, 5-8 hours/week
Sous-titres
English, Korean, Vietnamese, Chinese (Simplified)
À propos du cours
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
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COURS 2
Machine Learning: Regression
Engagement
6 weeks of study, 5-8 hours/week
Sous-titres
English
À propos du cours
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
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COURS 3
Machine Learning: Classification
Engagement
7 weeks of study, 5-8 hours/week
Sous-titres
English
À propos du cours
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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COURS 4
Machine Learning: Clustering & Retrieval
Engagement
6 weeks of study, 5-8 hours/week
Sous-titres
English
À propos du cours
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
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Créateurs

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

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