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Course Catalog > On Demand Online Learning > Data Literacy and Management

Introduction to Machine Learning   


This course will provide you a foundational understanding of machine learning models (logistic regression, multilayer perceptrons, convolutional neural networks, natural language processing, etc.) as well as demonstrate how these models can solve complex problems in a variety of industries, from medical diagnostics to image recognition to text prediction. In addition, we have designed practice exercises that will give you hands-on experience implementing these data science models on data sets. These practice exercises will teach you how to implement machine learning algorithms with PyTorch, open source libraries used by leading tech companies in the machine learning field (e.g., Google, NVIDIA, CocaCola, eBay, Snapchat, Uber and many more).

Difficulty Level: INTERMEDIATE

Estimated Learning Time:  1 hours


Applied Machine Learning

Data Analysis

Deep Learning

Machine Learning

Machine Learning Algorithms


Course Instructor PhotoLawrence Carin
James L. Meriam Professor of Electrical and Computer Engineering
Electrical and Computer Engineering

Course Instructor PhotoDavid Carlson
Assistant Professor of Civil and Environmental Engineering
Civil and Environmental Engineering/Biostatistics and Bioinformatics

Course Instructor PhotoTimothy Dunn
Postdoctoral Associate
Department of Statistical Science; Department of Neurosurgery

Course Instructor PhotoKevin Liang
PhD Candidate
Electrical and Computer Engineering Department

  • Introduction to Machine Learning
  • Fee: $59.00

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