Machine Learning

MLStation · Machine Learning

Machine Learning

Models that learn from data: from linear baselines to deep networks, explained with the math and the code.

Foundations

Supervised LearningRegression and classification with labeled data. Unsupervised LearningClustering, dimensionality reduction and hidden structure. Deep LearningNeural networks, CNNs, transformers and training at depth. Feature EngineeringTurning raw data into signals a model can learn from. VisualizationCharts that explain: choosing, designing and animating visuals for data and models.

Practice

AlgorithmsCore ML algorithms derived step by step, then implemented. EvaluationMetrics, validation strategies and honest error analysis. Toolsscikit-learn, PyTorch, XGBoost and the modern ML toolkit.

Latest articles

Data Visualization for Data Scientists: From Question to Plot
13 min
Data Science
Visualization
Python

A practical, Python-first guide to common Data Science plots with simulated data, reproducible code and interactive examples.

Oct 2, 2026
Machine Learning Algorithms: A Practical Map of How Models Learn
6 min
ML
Algorithms
Data Science

Understand the recurring mathematical ideas behind modern ML algorithms, when to use each family, and how their behavior changes through interactive simulations.

Oct 1, 2026
From Linear Regression to Deep Learning: Your First Neural Network
20 min
ML
Deep Learning

What a weight really is, why a single neuron is just linear regression, and how hidden layers and depth let a network learn curves. Interactive, step by step.

Oct 1, 2026
CNNs Explained: From Pixels to ResNet and YOLO
26 min
ML
Deep Learning
Computer Vision

Why plain neural networks fail on images, how convolution fixes it, the classic architectures from AlexNet to ResNet, and how YOLO finds objects in real time.

Oct 1, 2026
Object Detection in 2026: From Barcodes to Driverless Cars
19 min
AI
Computer Vision
Deep Learning

The state of the art in image detection today: YOLO26, RF-DETR, open-vocabulary models and SAM 3, and how they are used from pill counting to self-driving cars.

Oct 1, 2026
Model Evaluation: How Do We Know the Model Is Actually Good?
7 min
ML
Evaluation
Data Science

A rigorous but intuitive guide to validation design, regression and classification metrics, thresholds, calibration, cross-validation, uncertainty, leakage and…

Oct 1, 2026
New articles are on the way. Check back soon.
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