MACHINE LEARNING
Columbia University · NY · COMSW4771
MACHINE LEARNING is a subject at Columbia University, NY. It covers topics like data-mining, deep-learning, machine-learning, statistical-learning. It is part of 5 degrees. The information below is compiled from public course material — approximate, not official.
Columbia University
COMSW4771
3.00
Topics covered
Degrees that include MACHINE LEARNING
- Business Analytics (MS)
- Industrial Engineering (MS)
- Management Science and Engineering (MS)
- Mechanical Engineering (MS)
- Operations Research (MS)
Frequently asked questions
What is MACHINE LEARNING about?
MACHINE LEARNING covers topics like data-mining, deep-learning, machine-learning, statistical-learning.
Which degrees include MACHINE LEARNING?
MACHINE LEARNING is part of 5 degrees, including Business Analytics (MS), Industrial Engineering (MS), Management Science and Engineering (MS), Mechanical Engineering (MS), Operations Research (MS).
How many credit points is MACHINE LEARNING?
MACHINE LEARNING at Columbia University is typically around 3.00 credit points. Approximate — confirm with the university.
Where is MACHINE LEARNING taught?
MACHINE LEARNING is taught at Columbia University, NY.
Studying MACHINE LEARNING?
Peernovo helps students research, choose and thrive at university — across Australia, the US, the UK and Canada — powered by our AI backbone:
- Explore & compare degrees — across universities and countries with honest, specific information.
- "What Can I Be?" career guidance — an AI pathway councillor that maps degrees to careers.
- See who's studying — your degree at your university — find classmates and study groups.
- AI Task Coach — a Socratic study companion that plans your work around your life.
- Honours & Thesis Research Coach — structure and move your research project forward.
- Smart study planner, exam prep and a daily digest — to keep you on track.
Sources: Columbia University public course catalogue. Information is compiled and summarised — not copied verbatim — and is approximate; always confirm with the original source.
Something not right on this page, or want it changed? Let us know and we'll review it.