Summary of Machine Learning Foundations : A Case Study Approach

Gedung Panehan Pasca Sarjana Lantai 1,
Jl. Telekomunikasi Terusan Buah Batu,
Bandung - 40257, Indonesia

E-Mail: clove@telkomuniversity.ac.id
Whatsapp Khusus Dosen: +62 821-1666-3563

Profil Mata Kuliah

Announcements

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