Statistical Machine Learning (Q)
0%
Previous
Course data
Program Learning Outcomes (PLOs) and Course Learning Outcomes (CLO)
Announcements
Announcements
RANCANGAN PEMBELAJARAN SEMESTER
Pertemuan 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
SML Class Q, Wednesday, March 10, 2021 starts at 15:30
Pertemuan 2
Slide-2: Data Analytics
Data: customer.csv
Lecture 3
Slide-3: Supervised Learning - LOGISTIC REGRESSION
Lecture 4
Kernel
Slide-4: Supervised Learning - SVM
Video: SVM with polynomial kernel visualization
Lecture 5
Slide-5: supervised learning: Support Vector Regression
SVR - a tutorial (1)
SVR - a tutorial (2)
Supervised learning: Decision Tree and Random Forest
Lecture 6
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
Lecture 16
Submission for CREDIT TRANSFER (alih kredit) documents
Next
Side panel
Panduan Dosen
Unduh PDF
[Video] Panduan Membuat Video Asinkronus dengan Power Point
Panduan Mahasiswa
Unduh PDF
Log in
Username
Password
Remember username
Forgot Password?
Log in
Log in using your account on
Don't have an account?
Statistical Machine Learning (Q)
Home
Skip to main content
Course info
Home
Courses
Institut Teknologi Sepuluh Nopember
Sarjana
Fakultas Sains dan Analitika Data
S-1 STATISTIKA
Semester Genap 2020/2021
Statistical Machine Learning (Q)
Summary
Statistical Machine Learning (Q)
Teacher:
Dedy Dwi Prastyo
Teacher:
Kartika Fithriasari