Introduction to Machine Learning

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Course Features

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Duration

26 hours

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Intermediate

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Teaching Type

Self Paced

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Video Content

26 hours

Course Description

This course will provide a solid understanding about machine-learning models, such as logistic regression and multilayer perceptionrons, convolutional neuro network, natural language processing, convolutional neural nets, and convolutional networks. These models can be used in solving complex problems across many industries including medical diagnostics and image recognition. To give you hands-on experience with data science models, we have created practice exercises. These exercises will teach you how to use PyTorch (an open-source library used in machine learning by the top tech companies like Google, NVIDIA and CocaCola). Google, NVIDIA, CocaCola, Snapchat. Uber. Snapchat. eBay. Snapchat.

Course Overview

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International Faculty

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Post Course Interactions

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Instructor-Moderated Discussions

Skills You Will Gain

What You Will Learn

Implement machine learning algorithms with PyTorch

Use open source machine learning libraries

Machine Learning Models

Course Instructors

Lawrence Carin

Professor of Electrical and Computer Engineering

Lawrence Carin is the James L. Meriam Distinguished Professor of Electrical and Computer Engineering at Duke, where he also serves as the Vice Provost for Research. He is one of the most prolific aut...

David Carlson

Assistant Professor of Civil and Environmental Engineering

David Carlson is an Assistant Professor at Duke University in the Department of Civil and Environmental Engineering and the Department of Biostatistics and Bioinformatics. His research is focused in ...

Timothy Dunn

Postdoctoral Associate

Dr. Dunn is a Forge Scholar and neuroscience researcher specializing in machine learning, particularly deep convolutional neural networks. His work has focused on how the brain controls behavior. Usi...

Kevin Liang

PhD Candidate

Kevin Liang is a PhD Candidate in the Electrical and Computer Engineering Department at Duke University, with primary research interests in deep learning. He has taught machine learning at Duke for v...

Course Reviews

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