Statistical Machine Learning (AT25-41253) - 2025/2026_1
Course Schedule:
Monday, 13:55 - 16:35 WIB
Tuesday, 07.30 - 10:10 WIB
Ruang: Lab Sains Aktuaria, Labtek OZT
Important links:
About The Course
Description
This course provides an in-depth understanding of statistical machine learning techniques and their applications. Students will learn about various algorithms, including regression, classification, clustering, and dimensionality reduction, with a focus on their statistical foundations. The course combines theoretical concepts with practical implementations using programming languages such as Python or R.
Class Regulation
Please refers to this: kontrak kuliah
If there are any conflicts between the class regulations and Pak Dani’s regulations, Pak Dani’s regulations take precedence.
Materials
| Week | Topic | Material | Assignments |
|---|---|---|---|
| 9 Monday |
Working with Traditional Machine Learning on Python | 1. Slides 2. Lecturing Recordings (Pass: 9i&n1#SZ) |
|
| 9 Tuesday |
Matriculation - Assistant: Cindy and Sikah | 1. Matriculation Slides: Dev Env Setup | |
| 10 | Predictive AI with Vector Machine | 1. Slides 2. Github Repo 3. Screen Record Password: ^xil.1hj |
SVM Experiment Deadline: Monday, 3 November 2025, 23.59 1. Description 2. Submission |
| 11 | Predictive AI with Gradient Boosting | 1. Slides 2. Notebook Code 3. Youtube Video: Visual Guide to Gradient Boost 4. Youtube Video: StatQuest on Gradient Boost |
|
| 12 | Deep Learning | 1. Slides 2. Notebook code: .ipynb, dl_models.py, dl_training.py |
Deadline: Friday, 21 Nov 2025, 23.59 1. Assignment 2. Submission |
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- Mengungkap dugaan kecurangan / plagiarisme
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