Lecture Notes: Komputasi Lanjut (Advance Computing)

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SOFTWARE INFORMATION

Julia Version 1.9.2

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MATERI SESI 1: 

Materi online: DataScienceTutorials.jl

Bagian 1. Data Pre-processing

 Bagian 2. Introduction to MLJ

 Bagian 3. Regressor (Loss Function, Regularization, Measurement)

 Bagian 4. Classifier (Boolean, Multiclass, Cross-validation)

 Bagian 5. Clustering and Image Data

TUGAS SESI 1:  

MATERI SESI 2: 

 Bagian 1. Introduction to Flux

 Bagian 2. Introduction to Neural Network

 Bagian 3. Multilayer Perceptron dan Intro to Convolutional Neural Network (CNN)

 Bagian 4. Macam-macam model Convolutional Neural Network (CNN)

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