What tools and technologies are covered in Statistical Learning for Engineering Part 2?

This course covers PyTorch and Python.

What career roles is Statistical Learning for Engineering Part 2 relevant for?

The skills and techniques in Statistical Learning for Engineering Part 2 are most relevant for Data Scientist positions and other data science career paths.

Statistical Learning for Engineering Part 2 | Coursera | Data Science & AI Course

Description

Students will learn the implementation of selected machine learning algorithms via python and PyTorch.Read more.

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Career Relevance by Data Role

The techniques and tools covered in Statistical Learning for Engineering Part 2 are most similar to the requirements found in Data Scientist data science job advertisements.

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Statistical Learning for Engineering Part 2

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Career Relevance by Data Role

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