Statistical Machine Learning (A)
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RANCANGAN PEMBELAJARAN SEMESTER
Week 1
Lecture SML, Monday 30th of August 2021, starts at 09:00
Slide-1: Introduction to Predictive Analytics and Machine Learning
Slide-2: Data Analytics
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 2
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
Lecture SML, Monday 6th of September 2021, starts at 09:00
Week 3
Slide-3: Kernel
Kernel Density Estimator (KDE)
Nonparametric regression using Kernel estimator
Reproducing Kernel Hilbert Space (RKHS)
Lecture SML, Monday 13th of September 2021, starts at 09:00
Week 4
slide-3: Supervised Learning: Logistic Regression
slide-4: Supervised learning: SVM for Classification
illustration: SVM with polynomial kernel visualization
Lecture SML, Monday 20th of September 2021, starts at 09:00
Week 5
slide-5: Support Vector Regression for Prediction
Support Vector Regression - a tutorial (1)
Support Vector Regression - a tutorial (2)
Lecture SML, Monday 27th of September 2021, starts at 09:00
slide-5: Support Vector Regression (simulation) updated Sept-2021
Week 6 Model and Feature Selection/Engineering. Performance Evaluation.
VSURF - An R Package for Variable Selection Using Random Forests
slide-7: Model Selection, Feature Selection, and Performance Evaluation (update)
glmnet - Regularization Paths for Generalized Linear Models via Coordinate Descent
Statistical predictions with glmnet
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
Lecture SML, Monday 4th of October 2021, starts at 09:00
week 7 Decision tree-based approach
slide-6: Supervised learning: Decision Tree and Random Forest (updated)
Random Forest for Regresion
Week 7 Data with mixture type & extension of Kernel
kernlab – An S4 Package for Kernel Methods in R
SVM - The Interface to libsvm in package e1071
kernel PCA - Application of kernel PCA and computational machine learning to exploration of metabolites strongly associated with diet
mixKernel - Unsupervised multiple kernel learning for heterogeneous data integration
PCAmixdata R Package - Multivariate Analysis of Mixed Data
PCAmix - Outlier detection using PCA mix based T2 control chart
Lecture SML, Monday 11th of October 2021, starts at 09:00
Week 9
Kuliah online
Introduction to NN
neural networks and statistical models
neural networks and statistical models (Powell & Duffy)
Week 10
Online Class
Material : linerity test
White test
TErasvirta test
Perceptron
And problem
Week 11
online Class
Week 12
Online Class
Material MLP in Time Series
Week 13
Quiz
Soal
Data
Penjelasan Variabel
Week 14
SML S2, Senin 6 Dsesember 2021, mulai pukul 09:30 WIB
The Performance of Ramsey Test, White Test and Terasvirta Test in Detecting Nonlinearity - A Simulation Study
plotXY.R
Simulation study on ESTAR model
SVR for time series
Week 15
Analisis Teknikal untuk Saham
Short term stock market price trend prediction using a comprehensive deep learning system
Project individu post ETS SML S2 (OHLCV)
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Statistical Machine Learning (A)
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Institut Teknologi Sepuluh Nopember
Magister
Fakultas Sains dan Analitika Data
S-2 STATISTIKA
Semester Gasal 2021/2022
Statistical Machine Learning (A)
Summary
Statistical Machine Learning (A)
Teacher:
Dedy Dwi Prastyo
Teacher:
Kartika Fithriasari