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Every AI, machine-learning and data post on this site in one place, in an order that builds from the basics to agents, MCP and the cost of tokens.

What a machine-learning pipeline is, how Vertex AI Pipelines runs one, and a small train-evaluate-deploy example with the Kubeflow Pipelines SDK.

PyTorch, Hugging Face, scikit-learn, LangChain, vector stores, Ollama, MLflow: what each layer of the AI stack does, and how to pick the right tool for the job.

From “what is autocomplete?” to the full mathematics powering Claude Sonnet 4.6; with history, intuition, worked examples and cheatsheet.

Remember how we compared a language model to an advanced autocomplete system? Well, here’s where the story gets interesting. Not all language models learn the same way.

Understanding how computers “read” and understand text is a fascinating field.

KNN is the friendly, neighborhood algorithm that believes you are defined by the company you keep.

Whether you’re preparing for a quiz or just brushing up on fundamentals, this guide distills the key concepts from Data Mining into bite-sized, memorable chunks. Let’s dive in!

If you are like me, you must have stumbled on this question – Why is matrix multiplication so significant – especially in the AI/ML universe.

At the heart of machine learning, algorithms learn from data. The key distinction between supervised and unsupervised learning is the type of data used for training.

As another project wraps up, bringing with it the bittersweet relief of an almost-closed chapter (and, yes, a few too many late-night coding sessions), I found myself reflecting on the tools that got…

In my last post, we explored the divide between Pandas (single machine) and PySpark (distributed computing).

So as part of the academic curriculum we just started re-exploring Apache Spark. It’s been one of the technology that I had long lost touch with.

In the context of forecasting and business analytics, a model is a simplified representation of a real-world situation or process.

Artificial Intelligence (AI) has revolutionized many aspects of our lives, from virtual assistants like Siri and Alexa to self-driving cars and personalized content recommendations.