Faculty of Arts & Science · St. George
STA314H1
Statistical Methods for Machine Learning I
What was the average?
B-
2.7 GPA across 3 observed terms. Most recent: Fall 2025.
How is it graded?
Not yet verified
No syllabus we can lawfully use has been verified for this course.
How confident is this?
Med
A small number of terms, so read it as a range.
From the calendar
Official source · Faculty of Arts & ScienceStatistical methods for supervised and unsupervised learning from data: training error, test error and cross-validation; classification, regression, and logistic regression; principal components analysis; stochastic gradient descent; decision trees and random forests; k-means clustering and nearest neighbour methods. Computational tutorials will support the efficient application of these methods.
- Exclusions
- CSC311H1CSC311H5CSCC11H3STA314H5STA315H5
- Contact hours
- 36 lecture · 12 tutorial
- Total scheduled hours for the course, not per week.
One option from each line
STA302H1, STA302H5, or STAC67H3
CSC108H1, CSC110Y1, CSC148H1, CSCA08H3, CSCA48H3, CSCA20H3, CSC108H5, or CSC148H5
MAT223H1, MAT224H1, MAT240H1, MATA22H3, MATA23H3, MAT223H5, MAT240H5, MATB24H3, or MAT224H5
MAT235H1 and MAT236H1, MAT235Y1, MAT237Y1, MAT257Y1, MATB41H3 and MATB42H3, MAT232H5 and MAT236H5, or MAT233H5 and MAT236H5
What people actually got
Last observed Fall 20253 terms observed
This is a student-contributed aggregate, not an official University of Toronto record. It is also not a measure of how hard the course is — a course average moves with who enrols in it, not only with the material.
Per-term figures stay hidden until each term clears five contributors. 3 observations can support one honest number; they cannot support 3.
How well we know this course
2023–2025Pyko’s archive holds 92 documents for STA314H1, across 3 years between 2023 and 2025.
- 2
- Final exams
- 7
- Midterms
- 17
- Solution sets
- 9
- Assignments
- 29
- Lecture notes
- 25
- Tutorial material
- 1
- Handouts
- 2
- Syllabi
Both a midterm and a final appear in what we hold, so this course has historically been assessed on both rather than on a single end-of-term paper.
Counts, not a library. Pyko does not host or distribute course files, and this page is not an offer to supply one — the archive is what lets these pages describe how a course is assessed, which matters most where no syllabus has been verified.
What we don’t have yet
Source ledger
Report an error →| Claim | Source | Captured | Status |
|---|---|---|---|
| Course description, prerequisites, exclusions, contact hours | Faculty of Arts & Science | 2026-07-25 | public fact |
| Historical average across 3 terms | Student contributions, consented | 2026-07-25 | user contributed aggregate |
| 92 archived documents, 2023-2025 | Pyko archive | 2026-07-25 | index only |
Page last verified 2026-07-25. A claim whose source moves is withdrawn before it goes stale.
What this opens up
6 courses list STA314H1 as a prerequisiteThe other 3 have no page yet. Listing a course here means it names STA314H1 among its prerequisites — often as one of several ways to satisfy the same requirement, so this is what STA314H1 makes available, not what it alone guarantees.
Around this course
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