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Machine Learning

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Build Intelligent Applications

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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From University of Washington via Coursera
Hours 187
Instructors Carlos Guestrin, Emily Fox
Language English
Subjects Data Science Programming Mathematics

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Careers

An overview of related careers and their average salaries in the US. Bars indicate income percentile (33rd - 99th).

Research Scientist-Machine Learning $55k

Cloud Architect - Azure / Machine Learning $75k

Watson Machine Learning Engineer $81k

Machine Learning Software Developer $103k

Software Engineer (Machine Learning) $116k

Applied Scientist, Machine Learning $130k

Autonomy and Machine Learning Solutions Architect $131k

Applied Scientist - Machine Learning -... $136k

RESEARCH SCIENTIST (MACHINE LEARNING) $147k

Machine Learning Engineer 2 $161k

Machine Learning Scientist Manager $170k

Machine Learning Scientist, Personalization $213k

Courses in this Specialization

Listed in the order in which they should be taken

Starts Course Information

Jun
26

Machine Learning Foundations: A Case Study Approach

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...

Coursera | University of Washington

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Jun
26

Machine Learning: Regression

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...

Coursera | University of Washington

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Jun
26

Machine Learning: Classification (You were viewing this 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)...

Coursera | University of Washington

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Jun
26

Machine Learning: Clustering & Retrieval

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...

Coursera | University of Washington

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Coursera

&

University of Washington

From University of Washington via Coursera
Hours 187
Instructors Carlos Guestrin, Emily Fox
Language English
Subjects Data Science Programming Mathematics

Careers

An overview of related careers and their average salaries in the US. Bars indicate income percentile (33rd - 99th).

Research Scientist-Machine Learning $55k

Cloud Architect - Azure / Machine Learning $75k

Watson Machine Learning Engineer $81k

Machine Learning Software Developer $103k

Software Engineer (Machine Learning) $116k

Applied Scientist, Machine Learning $130k

Autonomy and Machine Learning Solutions Architect $131k

Applied Scientist - Machine Learning -... $136k

RESEARCH SCIENTIST (MACHINE LEARNING) $147k

Machine Learning Engineer 2 $161k

Machine Learning Scientist Manager $170k

Machine Learning Scientist, Personalization $213k

Similar Courses

Sorted by relevance