Belajar Machine Learning

Belajar Machine Learning dari nol hingga production-grade: pre-requisites skill & setup environment, definisi & jenis-jenis ML, pipeline ML & tooling, matematika dasar untuk ML, EDA & data preprocessing, supervised regression & classification, tree-based models & ensemble, unsupervised clustering & dimensionality reduction, feature engineering & selection, model evaluation & hyperparameter tuning, experiment tracking & reproducibility, time series forecasting, NLP & text data dasar, imbalanced data & anomaly detection, categorical data & encoding lanjutan, model security & adversarial ML, ML pipelines & automation (MLOps), deployment & serving model, gradient boosting lanjutan, model interpretation (XAI), reinforcement learning, scale big data & AutoML, ekosistem & tren modern 2026, hingga roadmap karir & refleksi akhir dengan total 25 episode.