machine learning

Why I’m Making the Switch to marimo Notebooks

of using Jupyter Lab, I actually have moved most of my work to marimo notebooks, a brand new type of Python notebook that addresses many long-standing issues with traditional ones. This text covers...

Generative AI Will Redesign Cars, But Not the Way Automakers Think

at a significant automotive manufacturer, watching engineers have fun what they thought was a breakthrough. They’d used generative AI to optimize a suspension component: 40% weight reduction while maintaining structural integrity, accomplished in...

Empirical Mode Decomposition: The Most Intuitive Strategy to Decompose Complex Signals and Time Series

to investigate your time series as a knowledge scientist?Have you ever ever wondered whether signal processing could make your life easier? If yes — stick with me. This text is made for you. 🙂 Working...

Overfitting vs. Underfitting: Making Sense of the Bias-Variance Trade-Off

models is a bit like cooking: too little seasoning and the dish is bland, an excessive amount of and it’s overpowering. The goal? That perfect balance – simply enough complexity to capture the...

Tips on 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 text, I’ll cover my first experience with the model and the way it differs...

Google Stakes AI leadership with Gemini 3

Good morning. It’s Wednesday, November nineteenth.On at the present time in tech history: In 1992Sepp Hochreiter’s Munich thesis exposed the vanishing/exploding gradient curse that doomed deep RNNs on long sequences. Ignored until Schmidhuber’s...

Understanding Convolutional Neural Networks (CNNs) Through Excel

as a black box. We all know that it learns from data, however the query is it truly learns. In this text, we are going to construct a tiny Convolutional Neural Network (CNN)...

OpenAI Publishes Prompting Guide for GPT-5.1

Good morning. It’s Monday, November seventeenth.On today in tech history: In 1995IBM researchers introduced Envelope Searcha brand new technique to speed up large-vocabulary speech recognition. It combined A* search’s ability to look ahead...

Recent posts

Popular categories

ASK ANA