Skip to content Game Theory Explains How Algorithms Can Drive Up Prices
The original version of this story appeared in Quanta Magazine. Imagine a town with two widget merchants. Customers prefer cheaper ...
Read more Empirical Mode Decomposition: The Most Intuitive Way to Decompose Complex Signals and Time Series
to analyze your time series as a data scientist?Have you ever wondered whether signal processing could make your life easier? ...
Read more How to Use Gemini 3 Pro Efficiently
its latest LLM: Gemini 3. The model is long-awaited and has been widely discussed before its release. In this article, ...
Read more How to Build an Over-Engineered Retrieval System
you’ll stumble upon when doing AI engineering work is that there’s no real blueprint to follow. Yes, for the most ...
Read more Gemini 3 Is Here—and Google Says It Will Make Search Smarter
Google has introduced Gemini 3, its smartest artificial intelligence model to date, with cutting-edge reasoning, multimedia, and coding skills. As ...
Read more Understanding Convolutional Neural Networks (CNNs) Through Excel
as a black box. We know that it learns from data, but the question is how it truly learns. In ...
Read more Agentic AI from First Principles: Reflection
says that “any sufficiently advanced technology is indistinguishable from magic”. That’s exactly how a lot of today’s AI frameworks feel. ...
Read more When Transformers Sing: Adapting SpectralKD for Text-Based Knowledge Distillation
While working on my Knowledge Distillation problem for intent classification, I faced a puzzling roadblock. My setup involved a teacher ...
Read more How to Build An AI Agent with Function Calling and GPT-5
and Large Language Models (LLMs) Large language models (LLMs) are advanced AI systems built on deep neural network such as transformers ...
Read more Stop Feeling Lost : How to Master ML System Design
data scientist or ML engineer, learning machine learning system design is one of the most essential skills you need to ...
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