Introduction to Machine Learning and Pattern Classification
Washington University in St. Louis · MO · ESE4170
Introduction to Machine Learning and Pattern Classification is a subject at Washington University in St. Louis, MO. It covers topics like data-mining, deep-learning, machine-learning, statistical-learning. It is part of 23 degrees. The information below is compiled from public course material — approximate, not official.
Washington University in St. Louis
ESE4170
3.00
Topics covered
Degrees that include Introduction to Machine Learning and Pattern Classification
- Biomedical Engineering, MS (BME)
- Biomedical Engineering, PhD (BME)
- Business and Computer Science (CSE), BS
- Computer Science (CSE), BS
- Computer Science (CSE), Second Major
- Computer Science + Economics (CSE), BS
- Computer Science + Mathematics (CSE), BS
- Computer Science + Mathematics (CSE), Second Major
- Data Mining & Machine Learning Certificate (CSE)
- Data Science (CSE), BS
- Data Science (CSE), Second Major
- Data Science Major
- Economics and Computer Science Major
- Electrical Engineering, MSEE (ESE)
- Engineering Data Analytics & Statistics, MSDAS (ESE)
- Financial Engineering (ESE), Second Major
- Financial Engineering, Second Major for BSBA Students
- Imaging Science, MS (IS)
- Mathematics and Computer Science Major
- Robotics and Intelligent Systems, MEng
- Second Major in Financial Engineering
- Statistics Major
- Systems Science & Mathematics, MSSSM (ESE)
Frequently asked questions
What is Introduction to Machine Learning and Pattern Classification about?
Introduction to Machine Learning and Pattern Classification covers topics like data-mining, deep-learning, machine-learning, statistical-learning.
Which degrees include Introduction to Machine Learning and Pattern Classification?
Introduction to Machine Learning and Pattern Classification is part of 23 degrees, including Biomedical Engineering, MS (BME), Biomedical Engineering, PhD (BME), Business and Computer Science (CSE), BS, Computer Science (CSE), BS, Computer Science (CSE), Second Major.
How many credit points is Introduction to Machine Learning and Pattern Classification?
Introduction to Machine Learning and Pattern Classification at Washington University in St. Louis is typically around 3.00 credit points. Approximate — confirm with the university.
Where is Introduction to Machine Learning and Pattern Classification taught?
Introduction to Machine Learning and Pattern Classification is taught at Washington University in St. Louis, MO.
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Sources: Washington University in St. Louis public course catalogue. Information is compiled and summarised — not copied verbatim — and is approximate; always confirm with the original source.
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