Machine learning tutorials with reproducible code

Learn AI through detailed tutorials and hands-on projects

Kudos AI features original machine learning tutorials covering NLP, computer vision, time-series forecasting, and responsible AI. Every article includes the math, the intuition, and runnable code you can test immediately.

All notebooks are hosted on GitHub with one-click Google Colab launchers, so you can reproduce every experiment without any setup.

Latest articles

Recent tutorials

Long-form guides that blend theory with practice. Each one includes math breakdowns, Python code, and links to the full notebook.

Support Vector Machines: Understanding the Math Behind SVM

Step-by-step derivations, hinge loss intuition, and kernel tricks with scikit-learn notebooks.

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Top 10 ML Algorithms — Intuition, Math, Code, and Use Cases

A curated digest of algorithms every practitioner should master before production deployments.

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Reinforcement Learning with Human Feedback (RLHF)

Collecting preference data, training reward models, and aligning agents with policy constraints.

Dive into RLHF

What you'll find here

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Blog

In-depth tutorials on NLP, computer vision, forecasting, and responsible AI with diagrams and runnable code.

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Projects

Hands-on builds with datasets, architectures, and Colab launchers you can run immediately.

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Consulting

Need help with a machine learning project? Let's discuss how we can support your team.

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Featured projects

Notebooks on GitHub

Each project links to a GitHub repository and Google Colab notebook you can run immediately.

Reinforcement learning

Q-learning Tic-Tac-Toe bot and reward-tuning walkthroughs.

Open notebooks

Computer vision

SRGAN super-resolution and OpenCV face detection.

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Time-series forecasting

S&P 500 models and demographic forecasts with ARIMA/LSTM.

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NLP experiments

Multilingual T5 summarizer and Wikipedia-trained chatbot.

View NLP projects