Pembelajaran Mesin – Machine Learning
Deskripsi Mata Kuliah – Course Description:
Pembelajaran Mesin – Mata Kuliah Pembelajaran Mesin melatih para mahasiswa untuk memahami ide-ide dasar, intuisi, konsep, algoritma, dan teknik untuk membuat komputer menjadi lebih cerdas melalui proses pembelajaran dari himpunan data. Materi yang disampaikan meliputi unsupervised learning, supervised learning, ensemble learning, dan reinforcement learning.
Machine Learning – The course of Machine Learning (MCL) trains students to understand basic ideas, intuitions, concepts, algorithms, and techniques to make computers more intelligent through the process of learning from data sets. The materials include unsupervised learning, supervised learning, ensemble learning, and reinforcement learning.
Pustaka – Bibliography:
Utama:
1. Suyanto, “Machine Learning: Tingkat Dasar dan Lanjut”, Penerbit
Informatika, Bandung, 2018
2. Miroslav Kubat, “An Introduction to Machine Learninge” Second Edition,
Springer, 2017.
3. Max Bramer, “Principles of Data Mining” Third Edition, Springer, 2017.
4. Suyanto, “Data Mining untuk Klasifikasi dan Klasterisasi Data”, Penerbit
Informatika, Bandung, 2017.
5. Richard S. Sutton and Andrew G. Barto, “Reinforcement Learning – An
Introduction” Second Edition, The MIT Press, Cambridge, Massachusetts,
London, England, 2020
