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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).

Created by Duke University


What you’ll learn

From this learning resource you can acquire the skills demanded by organizations in 2021. The most relevant technique within the educational opportunity that is commonly included by companies is Data Modeling. The most relevant tool is PyTorch. You will also find out about Applied Mathematics, a trait often included in job maps.

Who will benefit?

Evaluating content from this learning resource with nearly 10,000 data-related job descriptions, we determine that those in or pursuing Data Scientist roles have the most to gain.