Statistical Machine Learning (K)
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KS1844749 - Statistical Machine Learning K
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Statistical Machine Learning (K)
Week 1 - Introduction to Machine Learning
Pre-test
W01-Into to Machine Learning
Week 2 - Fuzzy c-Means Clustering
Pre-Test W02
W02-Fuzzy c-means clustering
Week 3 - DBSCAN
W03-dbscan
Journal: A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise
W03-Assignment
Week 4 - Introduction to Neural Network
Week 4 - Introduction to Neural Network
Introduction to Neurall Network - Class Material
PreTest - Introduction to NN
Week 5 - Simple Neural Nets
Week 5 - Simple Neural Nets
Week 6 - Backpropagation Neural Net
Week 6 - Backpropagation Neural Net
WEEK 6 - QUIZ
Week 7 - Gradient Descent
Week 8 - Midterm Exam
Dataset
Mid Term Exam Submission Board
Re-Do Midterm
Assigments
SVM in R
Tree-based Models and Forecasting
(Quiz) Forecasting with Machine Learning
Books
An Introduction to Statistical Learning with Applications in R
An Introduction to Statistical Learning with Applications in Python
Slides
Support Vector Machine
Support Vector Regression
Final Project EAS
Machine Learning Project
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Statistical Machine Learning (K)
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Institut Teknologi Sepuluh Nopember
Sarjana
Fakultas Sains dan Analitika Data
S-1 STATISTIKA KELAS INTERNASIONAL
Semester Gasal 2024/2025
Statistical Machine Learning (K)
Summary
Statistical Machine Learning (K)
Teacher:
Neni Alya Firdausanti
Teacher:
Novri Suhermi
