Machine Learning Foundations : A Case Study Approach
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TOPIK 1. PENGENALAN PHYTON, PLATFORM GOOGLE COLAB, LIBRARY NUMPY DAN PANDAS
1. LECTURE NOTE
2. ASSIGNMENT
3. QUIZ
4. FORUM DISCUSSION
5a. LINK EXTERNAL 1. Playlist Belajar Python
5b. LINK EXTERNAL 2. Google Colab Tutorial for Beginners | Get Started with Google Colab
5c. LINK EXTERNAL 3. Playlist Belajar NumPy
5d. LINK EXTERNAL 4. Complete Python Pandas Data Science Tutorial! (Reading CSV/Excel files, Sorting, Filtering, Groupby)
TTI6V3 - MACHINE LEARNING FOUNDATIONS : A CASE STUDY APPROACH - PB01 - M1 - PENGENALAN BAHASA PEMROGRAMAN PYTHON
TTI6V3 - MACHINE LEARNING FOUNDATIONS : A CASE STUDY APPROACH - PB01 - M2 - DASAR PEMROGRAMAN PYTHON
TTI6V3 - MACHINE LEARNING FOUNDATIONS : A CASE STUDY APPROACH - PB01 - M3 - PENGENALAN PLAFORM GOOGLE COLAB
TTI6V3 - MACHINE LEARNING FOUNDATIONS : A CASE STUDY APPROACH - PB01 - M4 - PENGENALAN LIBRARY NUMPY BAGIAN 1
TTI6V3 - MACHINE LEARNING FOUNDATIONS : A CASE STUDY APPROACH - PB01 - M5 - PENGENALAN LIBRARY NUMPY BAGIAN 2
TTI6V3 - MACHINE LEARNING FOUNDATIONS : A CASE STUDY APPROACH - PB01 - M6 - PENGENALAN LIBRARY PANDAS BAGIAN 1
TTI6V3 - MACHINE LEARNING FOUNDATIONS : A CASE STUDY APPROACH - PB01 - M7 - PENGENALAN LIBRARY PANDAS BAGIAN 2
TOPIK 2. PENGENALAN MACHINE LEARNING DAN PENGAPLIKASIANNYA
1. LECTURE NOTE
2. ASSIGNMENT
3. QUIZ
4. FORUM DISCUSSION
5. LINK EXTERNAL 1
5. LINK EXTERNAL 2
5. LINK EXTERNAL 3
5. LINK EXTERNAL 4
TTI6V3-MACHINE LEARNING FOUNDATION A CASE STUDY APPROACH-PB02-M1-Pengenalan Machine Learning dan Pengaplikasiannya
TTI6V3-MACHINE LEARNING FOUNDATION A CASE STUDY APPROACH-PB02-M2-Pengenalan Machine Learning (Dataset, Fitur, Atribut, Kelas pada klasifikasi)
TTI6V3-MACHINE LEARNING FOUNDATION A CASE STUDY APPROACH-PB02-M3-Supervised and Unsupervised Learning
TTI6V3-MACHINE LEARNING FOUNDATION A CASE STUDY APPROACH-PB02-M4-Supervised Learning
TTI6V3-MACHINE LEARNING FOUNDATION A CASE STUDY APPROACH-PB02-M5-Metode Klasifikasi 1
TTI6V3-MACHINE LEARNING FOUNDATION A CASE STUDY APPROACH-PB02-M6-model Klastering
TTI6V3-MACHINE LEARNING FOUNDATION A CASE STUDY APPROACH-PB02-M7-Reinforecement Learning
TOPIK 3: Supervised learning: Regresi Linear dan Aplikasinya
1. LECTURE NOTE
2. ASSIGNMENT
3. QUIZ: Regression
4. FORUM DISCUSSION: Regression Linear, Scikit-Learn
5a. LINK EXTERNAL: Regresi Linear Sederhana
5b. LINK EXTERNAL: Loss Functions
5c. LINK EXTERNAL: Machine Learning with Python (Polynomial Regression)
5d. LINK EXTERNAL: TensorFlow Tutorial - Linear Regression
TTI6V3 - MACHINE LEARNING FOUNDATIONS : A CASE STUDY APPROACH - PB03 - M1 - PENGENALAN FUNGSI REGRESI BAGIAN 1
TTI6V3 - MACHINE LEARNING FOUNDATIONS : A CASE STUDY APPROACH - PB03 - M2 - PENGENALAN FUNGSI REGRESI BAGIAN 2
TTI6V3 - MACHINE LEARNING FOUNDATIONS : A CASE STUDY APPROACH - PB03 - M3 - COST FUNCTIONS
TTI6V3 - MACHINE LEARNING FOUNDATIONS : A CASE STUDY APPROACH - PB03 - M4 - POLYNOMIAL REGRESSION & OVERFITTING I
TTI6V3 - MACHINE LEARNING FOUNDATIONS : A CASE STUDY APPROACH - PB03 - M5 - POLYNOMIAL REGRESSION & OVERFITTING II
TTI6V3 - MACHINE LEARNING FOUNDATIONS : A CASE STUDY APPROACH - PB03 - M6 - PENGENALAN LIBRARY SKLEARN & TENSORFLOW
TTI6V3 - MACHINE LEARNING FOUNDATIONS : A CASE STUDY APPROACH - PB03 - M7 - REGRESI LINEAR DAN APLIKASINYA
TOPIK 4: Supervise Learning: Klasifikasi Sederhana dan Aplikasinya
1. LECTURE NOTE
2 ASSIGNMENT: Multiclass Classification
3 QUIZ: Binary and Multiclass Classification
4 FORUM DISCUSSION: Binary dan Multiclass Classification
5a LINK EXTERNAL : Logistic Regression (Binary Classification)
5b LINK EXTERNAL : Logistic Regression (Multiclass Classification)
5c LINK EXTERNAL: SVM
5d LINK EXTERNAL: Machine Learning Theory - Underfitting vs Overfitting
5e LINK EXTERNAL: Confussion Matrix
TTI6V3 - MACHINE LEARNING FOUNDATIONS : A CASE STUDY APPROACH - PB04 - M1 - PENGENALAN KLASIFIKASI
TTI6V3 - MACHINE LEARNING FOUNDATIONS : A CASE STUDY APPROACH - PB04 - M2 - BINARY CLASSIFICATION
TTI6V3 - MACHINE LEARNING FOUNDATIONS : A CASE STUDY APPROACH - PB04 - M3 - MULTICLASS CLASSIFICATION PART 1
TTI6V3 - MACHINE LEARNING FOUNDATIONS : A CASE STUDY APPROACH - PB04 - M4 - MULTICLASS CLASSIFICATION PART 2
TTI6V3 - MACHINE LEARNING FOUNDATIONS : A CASE STUDY APPROACH - PB04 - M5 - PERFORMANCE METRICS BAGIAN 1
TTI6V3 - MACHINE LEARNING FOUNDATIONS : A CASE STUDY APPROACH - PB04 - M6 - PERFORMANCE METRICS BAGIAN 2
TTI6V3 - MACHINE LEARNING FOUNDATIONS : A CASE STUDY APPROACH - PB04 - M7 - OVERFITTING
TOPIK 5: Supervised Learning: Klasifikasi dengan Neural Network dan Aplikasinya
1. LECTURE NOTE
2. ASSIGNMENT: Classification with NN
3. QUIZ: Neural Network
4 FORUM DISCUSSION: Classification dengan Neural Network
5a LINK EXTERNAL: Neural Network Python
5b LINK EXTERNAL: Convolutional Neural Network Python
5c LINK EXTERNAL: parameter vs hyperparameter
5d LINK EXTERNAL: CNN in Keras
TTI6V3-MACHINE LEARNING FOUNDATION A CASE STUDY APPROACH-PB05-M1-PENGENALAN NEURAL NETWORK BAGIAN 1
TTI6V3-MACHINE LEARNING FOUNDATION A CASE STUDY APPROACH-PB05-M2-PENGENALAN NEURAL NETWORK BAGIAN 2
TTI6V3-MACHINE LEARNING FOUNDATION A CASE STUDY APPROACH-PB05-M3-PENGENALAN CNN BAGIAN 1
TTI6V3-MACHINE LEARNING FOUNDATION A CASE STUDY APPROACH-PB05-M4-PENGENALAN CNN BAGIAN 2
TTI6V3-MACHINE LEARNING FOUNDATION A CASE STUDY APPROACH-PB05-M5-KONSEP HYPERPARAMETER
TTI6V3-MACHINE LEARNING FOUNDATION A CASE STUDY APPROACH-PB05-M6-BACK PROPAGATION BAGIAN 1
TTI6V3-MACHINE LEARNING FOUNDATION A CASE STUDY APPROACH-PB05-M7-BACK PROPAGATION BAGIAN 2
TOPIK 6. PENGENALAN CLUSTERING DAN APLIKASINYA
Lecture Note
Assignment of Clustering
Quiz of Clustering
Forum Discussion: Clustering
External Link 1
External Link 2
External Link 3
TTI6V3_Machine Learning Foundation A CASE STUDY APPROACH_PB06_M1_konsep clustering
TTI6V3_Machine Learning Foundation A CASE STUDY APPROACH_PB06_M2_clustering
TTI6V3_Machine Learning Foundation A CASE STUDY APPROACH_PB06_M3_algoritma clustering
TTI6V3_Machine Learning Foundation A CASE STUDY APPROACH_PB06_M4_multiclass clustering
TTI6V3_Machine Learning Foundation A CASE STUDY APPROACH_PB06_M5_algoritma K-means
TTI6V3_Machine Learning Foundation A CASE STUDY APPROACH_PB06_M6_K-NN search
TTI6V3_Machine Learning Foundation A CASE STUDY APPROACH_PB06_M7_K-means clustering
TOPIK 7. PENGENALAN FEATURE REDUCTION DAN APLIKASINYA
Lecture Note
Assignment of feature Reduction
Quiz of Feature Reduction
Forum Discussion: Feature Reduction
External Link-1
External Link-2
External Link-3
TTI6V3-MACHINE LEARNING FOUNDATION A CASE STUDY APPROACH-PB07-M1-Feature Dimensionality Reduction
TTI6V3-MACHINE LEARNING FOUNDATION A CASE STUDY APPROACH-PB07-M2-Urgensi Feature Reduction
TTI6V3-MACHINE LEARNING FOUNDATION A CASE STUDY APPROACH-PB07-M3-Metode Feature Reduction I
TTI6V3-MACHINE LEARNING FOUNDATION A CASE STUDY APPROACH-PB07-M4-Metode Feature Reduction II
TTI6V3-MACHINE LEARNING FOUNDATION A CASE STUDY APPROACH-PB07-M5-Metode Feature Reduction III
TTI6V3-MACHINE LEARNING FOUNDATION A CASE STUDY APPROACH-PB07-M6-PCA Singular Value Decomposition
TTI6V3-MACHINE LEARNING FOUNDATION A CASE STUDY APPROACH-PB07-M7-LDA Supervised Learning
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FAKULTAS TEKNIK ELEKTRO (FTE)
PRODI S2 TEKNIK ELEKTRO (FTE)
TTI6V3-349
Summary
Machine Learning Foundations : A Case Study Approach
Teacher:
SRI ASTUTI
Teacher:
Reviewer CELOE
Teacher:
FAVIAN DEWANTA
Teacher:
NOR KUMALASARI CAECAR PRATIWI
Teacher:
SYAMSUL RIZAL