Notes, GA solutions, and PYQs for IITM BS Diploma MLT (Machine Learning Techniques) — linear algebra and advanced ML.
Last updated: April 2026
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MLT works through the major families of learning algorithms and what each assumes about the data. It builds directly on Machine Learning Foundations and is more comfortable if that material is still fresh.
Where marks go: Questions test when a method is appropriate, not just how it works — learn each algorithm's assumptions and where it breaks.
Eleven documents in this collection: four week-wise note sets and seven study documents.
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There are 11 items for Machine Learning Techniques, an IITM BS Diploma in Data Science level subject. Eleven documents in this collection: four week-wise note sets and seven study documents. Everything opens directly, with no account needed.
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Start with the most complete set for a first pass, then use the shorter sets to revise. Read with the course material open alongside, so you can tell where a set skips something.
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