Supervised Machine Learning (A)
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SD234504 - Supervised Machine Learning
Rencana Pembelajaran Semester
Announcements
Announcements
Introduction to Machine Learning
Book: Yu-Wei, David Chiu - Machine Learning with R Cookbook_ Explore over 110 recipes to analyze data and build predictive models with the simple and easy-to-use R code-Packt Publishing (2015)
Article: Prescriptive analytics - Literature review and research challenges
Article: 50 Years of Data Science
Week #1 - Introduction to machine learning (continued)
credit-earning program of BDC competition: session 1 (Bagus Sartono) - Teknik Pembelajaran Mesin
credit-earning program of BDC competition: session 2 (Rangga Pratama) - Clustering in Business
credit-earning program of BDC competition: session 3 (Dedy Dwi Prastyo) - Unsupervised Machine Learning
credit-earning program of BDC competition: session 4 (Setia Pramana) - Bioscience Machine Learning
credit-earning program of BDC competition: session 5 (Sri Astuti Thamrin) - Supervised Learning (part 1)
credit-earning program of BDC competition: session 6 (Siti Mariyah) - Pemanfaatan Statistical Machine learning pada official statistics
credit-earning program of BDC competition: session 7a (R Bagus Fajriya Hakim) - Supervised Learning (part 2)
credit-earning program of BDC competition: session 7b (R Bagus Fajriya Hakim) - SVM
credit-earning program of BDC competition: session 7c (R Bagus Fajriya Hakim) - ANN
credit-earning program of BDC competition: session 8 (Yunanto Cahyo Putranto) - Business Intelligence
Week 1 and 2
Introduction to Machine Learning
Slide-2: Data Analytics
Week 2 - Classification using Discriminant Analysis
slide of the MVA book (Haerdle and Simar) - Discriminant Analysis
Gaussian Discriminant Analysis, including QDA and LDA
Discriminant Analysis in R
DiscriminantAnalysis.R
Praktikum 4 September 2025 mulai pukul 13:00 WIB
Week 3 - Classification using Logistic Regression
Classification using Logistic Regression
Week #4 - Decision Tree
Tree-based Methods
Decision Tree and Random Forest
Week #4 & #5 - Random Forest
Random Forest for Regresion
slide-6: Supervised learning: Decision Tree and Random Forest (updated)
Week #5 - #6 Support Vector Machine
slide-3: Supervised Learning: Logistic Regression
slide-4: Supervised learning: SVM for Classification
illustration: SVM with polynomial kernel visualization
Week #7 - Support Vector Regression
Support Vector Regression - a tutorial (1)
Support Vector Regression - a tutorial (2)
slide-5: Support Vector Regression (simulation) updated Sept-2021
Materials
Lecture Notes
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Supervised Machine Learning (A)
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Institut Teknologi Sepuluh Nopember
Sarjana
Fakultas Sains dan Analitika Data
S-1 SAINS DATA
Semester Gasal 2025/2026
Supervised Machine Learning (A)
Summary
Supervised Machine Learning (A)
Teacher:
Dedy Dwi Prastyo
Teacher:
Novri Suhermi