A clean, beginner-friendly guide to the core ideas behind modern AI — from neural networks and transformers to RAG, agents, and diffusion models.
by Machine Learning Indonesia Research Jun 20, 2026 20 min read Load More
PCA helps reduce data complexity by creating compact principal components that are easier to visualize while preserving most of the important structure in the data.
by Machine Learning Indonesia Research Jun 20, 2026 12 min readRead More
Understand gradients, learning rate, batch variants, local minima, and parameter updates visually.
by Machine Learning Indonesia Research Jun 8, 2026 15 min readRead More
Read TP, FP, FN, TN, accuracy, precision, recall, specificity, F1, IoU, Dice, and Jaccard from a matrix.
by Machine Learning Indonesia Research Jun 8, 2026 15 min readRead MoreIn-depth visual notes on machine learning, evaluation, image processing, signal processing, and applied AI.
A clean, beginner-friendly guide to the core ideas behind modern AI — from neural networks and transformers to RAG, agents, and diffusion models.
by Machine Learning Indonesia Research Jun 20, 2026 20 min read
PCA helps reduce data complexity by creating compact principal components that are easier to visualize while preserving most of the important structure in the data.
by Machine Learning Indonesia Research Jun 20, 2026 12 min read
Understand gradients, learning rate, batch variants, local minima, and parameter updates visually.
by Machine Learning Indonesia Research Jun 8, 2026 15 min read
Read TP, FP, FN, TN, accuracy, precision, recall, specificity, F1, IoU, Dice, and Jaccard from a matrix.
by Machine Learning Indonesia Research Jun 8, 2026 15 min read
Explore Q, K, V, scaled dot-product attention, softmax, and attention matrices visually.
by Machine Learning Indonesia Research Jun 8, 2026 14 min read
A practical healthcare ML case study using random forest for risk insight and meal planning.
by Machine Learning Indonesia Research Jul 22, 2026 16 min read
See kernels, sliding windows, activation, and feature maps in a compact CNN workflow.
by Machine Learning Indonesia Research Jun 8, 2026 13 min read
Learn how observed signals can be split into trend, seasonal pattern, and residual noise.
by Machine Learning Indonesia Research Jun 8, 2026 11 min read
A beginner-friendly overview of data, features, models, training, evaluation, and prediction.
by Machine Learning Indonesia Research Jun 8, 2026 14 min read
Follow the practical steps from problem framing and cleaning to baseline, evaluation, and monitoring.
by Machine Learning Indonesia Research Jun 8, 2026 15 min read
A practical path through Python, data, statistics, simple models, evaluation, projects, and deep learning.
by Machine Learning Indonesia Research Jun 8, 2026 13 min read
Avoid skipping data understanding, baselines, evaluation, error analysis, and realistic projects.
by Machine Learning Indonesia Research Jun 8, 2026 12 min read
Pick practical model candidates based on output type, data structure, constraints, and evaluation needs.
by Machine Learning Indonesia Research Jun 8, 2026 14 min readTry a different keyword or choose All categories.