#Supervised Learning

Articles about Supervised Learning — exploring patterns, best practices, and real-world implementations in production systems.

1 post tagged with supervised learning. ← All posts

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Pratik Dhanave · ·5 min read

What Machine Learning Is — Programs That Learn from Data

Most of this blog's AI content sits on top of machine learning without ever defining it. This series fixes that from the ground up: before transformers and LLMs, before fine-tuning and RAG, there is the plain idea of a program that improves at a task by learning patterns from data instead of being explicitly told the rules. Understanding that idea — and its three core flavors — is the foundation everything else in modern AI is built on.

Before transformers and LLMs there is the plain idea of a program that learns patterns from data instead of being told the rules. What machine learning is, the vocabulary (features, model, training, generalization), and the three paradigms — supervised, unsupervised, reinforcement — the whole AI stack is built on.

#Machine Learning#Fundamentals#AI Engineering#Supervised Learning#LLMs

All posts on this site are written by Pratik Dhanave, an Agentic AI Architect with 7+ years building production distributed systems, multi-agent AI platforms, and cloud-native infrastructure. About the author → Each article includes working code, architecture diagrams, and references to the specific frameworks and standards discussed. Browse all posts or explore related topics using the tag cloud above.