I was working on a script the other day, and it was driving me nuts. It worked, sure, but it was just… slow. Really slow. I had that feeling that this could be so much faster if I could figure out where the hold-up was. My first thought was to start tweaking things. I could …
Think Your Python Code Is Slow? Stop Guessing and Start Measuring Read More »
Image by Author # Introduction OCR (Optical Character Recognition) models are gaining new recognition every day. I am seeing new open-source models pop up on Hugging Face that have crushed previous benchmarks, offering better, smarter, and smaller solutions. Gone are the days when uploading a PDF meant getting plain text with lots of issues. We …
Google 2025 recap: Research breakthroughs of the year
were first introduced for images, and for images they are often easy to understand. A filter slides over pixels and detects edges, shapes, or textures. You can read this article I wrote earlier to understand how CNNs work for images with Excel. For text, the idea is the same. Instead of pixels, we slide filters …
The Machine Learning “Advent Calendar” Day 23: CNN in Excel Read More »
Image by Author # Introduction The work of a data scientist is not just about collecting data points, but about building a connected web of knowledge from different sources. A simple notebook cannot help you see the patterns you are missing. The tools we use should augment our intelligence, not just archive it. The gap …
Gistr: The Smart AI Notebook for Organizing Knowledge Read More »
Announcing a new, open suite of tools for language model interpretability Large Language Models (LLMs) are capable of incredible feats of reasoning, yet their internal decision-making processes remain largely opaque. Should a system not behave as expected, a lack of visibility into its internal workings can make it difficult to pinpoint the exact reason for …
in some interesting conversations recently about designing LLM-based tools for end users, and one of the important product design questions that this brings up is “what do people know about AI?” This matters because, as any product designer will tell you, you need to understand the user in order to successfully build something for them …
Understanding the Generative AI User | Towards Data Science Read More »
Image by Author # Introduction We all have those tasks that eat up our time without adding real value. These include sorting downloaded files, renaming photos, backing up folders, clearing out clutter, and performing the same little maintenance tasks over and over again. None of these are particularly difficult, but they are repetitive, boring, and …
5 Useful Python Scripts to Automate Boring Everyday Tasks Read More »
Today, we’re expanding the Gemini 3 model family with the release of Gemini 3 Flash, which offers frontier intelligence built for speed at a fraction of the cost. With this release, we’re making Gemini 3’s next-generation intelligence accessible to everyone across Google products. Last month, we kicked off Gemini 3 with Gemini 3 Pro and …
Introducing Gemini 3 Flash: Benchmarks, global availability Read More »
fascinating aspects of time series is the intrinsic complexity of such an apparently simple kind of data. At the end of the day, in time series, you have an x axis that usually represents time (t), and a y axis that represents the quantity of interest (stock price, temperature, traffic, clicks, etc…). This is significantly …
A Practical Toolkit for Time Series Anomaly Detection, Using Python Read More »
