MGS 4083 creditsPrereq: Pre-Requisite: MGQ 201 and MTH 131 Co-Requisite: MGQ 301 and MGS 314
MGS 408: Introduction to Machine Learning for Business
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- From the catalog
- This course introduces students to the fundamental concepts of machine learning and how to implement them in a business. It draws on concepts and results from many fields including statistics, artificial intelligence, control theory, cognitive science and related disciplines. It helps develop algorithms that allow computer programs to automatically improve through experience. Students will learn how to develop and evaluate a concept learning task given hypothesis and labels forming target concepts. They will explore inductive, bayesian and deep learning algorithmic paradigms for business. The focus will be on how these state-of-the-art algorithms and open source software enable future adoption in companies. It will also help with development of business strategies and enable technical planning on new machine learning services and products.
- Credits
- 3
- Department
- School of Management
Rated classes in School of Management at UB
MGS 408 has no ratings yet. These MGS classes do, nearest numbers first.
- MGS 314Applied Business ProgrammingEasy · 4 ratings · 4.0 out of 5
- MGS 351Introduction to Management Information SystemsModerate · 89 ratings · 4.0 out of 5
- MGS 404Management Information SystemsModerate · 5 ratings · 4.4 out of 5
- MGS 405Systems Analysis and DesignModerate · 5 ratings · 2.0 out of 5
- MGS 406Big Data TechnologiesHard · 4 ratings · 2.0 out of 5
- MGS 425Management of IT ProjectsModerate · 4 ratings · 3.8 out of 5
- MGS 610Digital ForensicsModerate · 5 ratings · 4.6 out of 5
- MGS 613Database Mgmt SystemsModerate · 19 ratings · 4.2 out of 5
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