Pengenalan Pola Semester Genap 2019/2020

Daftar Topik

1. Pendahuluan [2x2]
2. Probabilitas [2x2] [Video]
3. Distribusi Diskrit [2x2] [Video]
4. Distribusi Kontinu [2x2] [Video]
5. Naive Bayes [2x2] [Video]
6. Dimensionality Reduction [2x2] [Video]
7. Model Linear [2x2] [Video]
8. Evaluasi Model [2x2] [Video bag. 1] [Video bag. 2]
9. Regresi Logistik [2x2] [Video]
10. Neural Networks [2x2] [Video]
11. k-Nearest Neighbours [2x2] [Video]
12. k-Means [2x2] [Video]
13. Gaussian Mixture Models [2x2] [Video]
14. Kuliah Tamu oleh Arie Pratama Sutiono [Video]

Praktikum

1. Distribusi Gaussian dan Naive Bayes
2. Gradient Descent
3. Gaussian Mixture Models

Tugas

1. Model Probabilistik
2. Klasifikasi Gambar
3. Model Linear dan Neural Networks
4. Clustering

Ujian

• UTS
• UAS