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Machine LearningMachine Learning

TI-ML-301 · Ganjil 2026/2027

Introductory machine learning course at STMIK Tazkia: AI landscape, inductive learning, classical models (Mitchell), then optimisation, neural networks, deep learning, transformers and LLM.Mata kuliah pengantar machine learning di STMIK Tazkia: peta AI, pembelajaran induktif, model klasik mengikuti buku Tom Mitchell, lalu optimasi, jaringan saraf, deep learning, transformer, dan pengenalan LLM.

Materials on this page are open. Assignments and quizzes belong to the class — log in to see them.Materi di halaman ini terbuka. Tugas dan kuis milik kelas — masuk dulu untuk melihatnya.
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Machine Learning 101: peta AI, kelas masalah, definisi belajarMachine Learning 101: peta AI, kelas masalah, definisi belajar

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Concept learning, Find-S, version space, dan bias induktifConcept learning, Find-S, version space, dan bias induktif

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Pohon keputusan: entropy, information gain, ID3, C4.5/J48Pohon keputusan: entropy, information gain, ID3, C4.5/J48

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Ensemble: bagging, random forest, boosting, XGBoostEnsemble: bagging, random forest, boosting, XGBoost

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Evaluasi hipotesis dan pembelajaran BayesianEvaluasi hipotesis dan pembelajaran Bayesian

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Naive Bayes dan Support Vector MachineNaive Bayes dan Support Vector Machine

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kNN (lazy learning) dan regresi linierkNN (lazy learning) dan regresi linier