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Coursera

Machine Learning

University of Washington via Coursera Specialization

Overview

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.

Syllabus

Course 1: Machine Learning Foundations: A Case Study Approach
- Offered by University of Washington. Do you have data and wonder what it can tell you? Do you need a deeper understanding of the core ways ... Enroll for free.

Course 2: Machine Learning: Regression
- Offered by University of Washington. Case Study - Predicting Housing Prices In our first case study, predicting house prices, you will ... Enroll for free.

Course 3: Machine Learning: Classification
- Offered by University of Washington. Case Studies: Analyzing Sentiment & Loan Default Prediction In our case study on analyzing sentiment, ... Enroll for free.

Course 4: Machine Learning: Clustering & Retrieval
- Offered by University of Washington. Case Studies: Finding Similar Documents A reader is interested in a specific news article and you want ... Enroll for free.

Courses

Taught by

Carlos Guestrin and Emily Fox

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Reviews

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  • Old-fashioned bait & switch from Coursera Coursera has been advertising this specialization since the fall of 2015. All of the courses were supposed to be available by the summer of 2016. Unfortunately, this has not happened as of October 2016 and the...

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