How simulations outperform traditional stats in that they are easier to understand, more flexible, and economically meaningful [Image by Author]Controlled experiments such as A/B tests are used heavily by companies. However, many people are repelled by A/B testing due to the presence of intimidating statistical jargon including terms such as “confidence”, “power”, “p-value”, “t-test”, “effect…

As many of you know, the 30-Day Map Challenge is a social media event where people passionate about maps create a topic-based design for 30 days in November. You can find more information about it on the official website. Just a few people handle creating a map that is fully presentable… Source link

FulFILL your dreams of having AI write repetitive reports for you. Find out how we built Fill.sg in 2 weeks at LAUNCH! Table of Contents Introduction Problem statement Our Solution Prompts Behind Fill.sg ∘ Breakthrough in LLMs: Long-context models ∘ Our Prompting Approach ∘ Report Generation: Divide and Conquer UI/UX Considerations for a User-Friendly GenAI…

Building a programming language from scratch in a few hours Trees: The Hierarchical Heart of Computer Science. Source: Jeremy Bishop on UnsplashThe world is full of programming languages with all kinds of different use cases. Most of these languages, though, are built for very general purposes — sometimes, we may want to design a language…

An introduction to Network Analysis in Python, along with a practical example using Pokemon data from the PokeApi Photo by Michael Rivera on UnsplashNetwork Analysis is a robust yet straightforward approach to meaningfully understanding various entities'… Source link

TUTORIAL How I learned to use AI as an alternative to generate amazing random data. Kory Becker · Follow Published in Towards Data Science · 8 min read · 8 hours ago -- Share Photo by DALLE.I’ve recently decided to re-familiarize myself with programming…

Injecting random values during neural network training can help you get more from your categoricals Continue reading on Towards Data Science » Source link

Six simple techniques you can apply in real life The first part of this series discussed the growing need for problem-solving skills. As more of our world is automated with AI these skills are more important than ever. This article continues to outline practical strategies for solving any problem. Three more techniques are outlined below…

The data estate is evolving, and data quality management needs to evolve right along with it. Here are three common approaches and where the field is heading in the AI era. Image by author.Are they different words for the same thing? Unique approaches to the same problem? Something else entirely? And more importantly — do…

Simple stream processing using Python and tumbling windows Image by authorIn this tutorial, I want to show you how to downsample a stream of sensor data using only Python (and Redpanda as a message broker). The goal is to show you how simple stream processing can be, and that you don’t need a heavy-duty stream…