Deep-Dive Topics in Machine Learning
Explore both foundational and advanced machine learning topics — from linear regression to boosting methods to online learning models like multi-armed bandits.
If you find that our articles are useful for your machine learning journey, consider subscribing to our paid version with a price of one cup of cappuccino per month.
⚡ Large Language Models (LLMs)
Large Language Models are transforming the landscape of AI, powering everything from chatbots and code assistants to document summarization and creative generation. In this section, we explore the theory, engineering, and practical application of LLMs—along with guides to prominent open-source and proprietary models.
⚡ Boosting Algorithms
Boosting is a powerful ensembling technique that improves model performance by combining weak learners. In this section, we cover both the theory and practice of boosting, including hands-on guides to popular libraries:
🎰 Reinforcement Learning: Multi-Armed Bandits
An introduction to basic and contextual multi-armed bandit (MAB) problems — ideal for understanding online decision-making under uncertainty. Includes algorithm comparisons and use cases in data science and ML.
