Statistical Machine Learning (Q)
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Program Learning Outcomes (PLOs) and Course Learning Outcomes (CLO)
Announcements
RANCANGAN PEMBELAJARAN SEMESTER
Lecture 1
Slide-1: Introduction to Predictive Analytics and Machine Learning
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
Lecture 2
SML (S1-Q): Monday (Oct 5, 2020) at 10:30
SML (S1-Q): Tuesday (Oct 6, 2020) at 13:00 (practicum and independent assignment)
Slide-2: Data Analytics
Data: customer.csv
Discussion (BDC team)
Lecture 3
SML (S1-Q): Monday (Oct 12, 2020) at 10:30
SML (S1-Q): Tuesday (Oct 13, 2020) at 13:00 (practicum and independent assignment)
Slide-3: Supervised Learning - LOGISTIC REGRESSION
Lecture 4
Kernel
Slide-4: Supervised Learning - SVM
SML (S1-Q): Monday (Oct 19, 2020) at 10:30
SML (S1-Q): Tuesday (Oct 20, 2020) at 13:00 (practicum and independent assignment)
Video: SVM with polynomial kernel visualization
Lecture 5
SML (S1-Q): Monday (Oct 26, 2020) at 10:30
SML (S1-Q): Tuesday (Oct 27, 2020) at 13:00 (practicum and independent assignment)
Slide-5: supervised learning: Support Vector Regression
SVR - a tutorial (1)
SVR - a tutorial (2)
Supervised learning: Decision Tree and Random Forest
Lecture 6
SML (S1-Q): Monday (Nov 2, 2020) at 10:30
SML (S1-Q): Tuesday (Nov 3, 2020) at 13:00 (practicum and independent assignment)
Slide-6: Supervised learning: Decision Tree and Random Forest (updated)
Lecture 7
Slide-7: Model Selection, Feature Engineering, Feature Selection, and Performance Evaluation
glmnet - Regularization Paths for Generalized Linear Models via Coordinate Descent
penalizedSVM - a R-package for feature selection SVM classification
PlosONE The Precision-Recall Plot Is More Informative than the ROC Plot When Evaluating Binary Classifiers on Imbalanced Datasets
VSURF - An R Package for Variable Selection Using Random Forests
SML (S1-Q): Monday (Nov 9, 2020) at 10:30
SML (S1-Q): Tuesday (Nov 10, 2020) at 13:00 (practicum and independent assignment)
Assignment 1. Due date Nov 15, 2020 at 08:00
Lecture 14
Monday (Dec 28, 2020) starts at 10:00 - Practicum
Lecture 15
Monday (Jan 4, 2021) starts at 10:00 - Practicum
Lecture 16
Assignment
Project: Classification Methods
Project: Classification Methods
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Statistical Machine Learning (Q)
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Institut Teknologi Sepuluh Nopember
Sarjana
Fakultas Sains dan Analitika Data
S-1 STATISTIKA
Semester Gasal 2020/2021
Statistical Machine Learning (Q)
Summary
Statistical Machine Learning (Q)
Teacher:
Dedy Dwi Prastyo
Teacher:
Suhartono