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A Data Mesh Implementation: Expediting Value Extraction from ERP/CRM Systems

Enabling fast data development from big operational systems Photo by Benjamin Zanatta on Unsplash The challenge when facing the ‘monster’ For a data engineer building analytics from transactional systems such as ERP (enterprise resource planning) and CRM (customer relationship management), the

Watching Storms from Space: A Python Script for Creating an Amazing View

Creating an animation from geostationary satellite images to dynamically monitor storms in real-time using Python and Google Colab Continue reading on Towards Data Science »

Set up a local LLM on CPU with chat UI in 15 minutes

This blog post shows how to easily run an LLM locally and how to set up a ChatGPT-like GUI in 4 easy steps. Photo by Liudmila Shuvalova on Unsplash Thanks to the global open source community, it is now easier than ever

Optimizing Super Bowl Squares with Linear Programming

Super Bowl Sunday has historically captivated the American audience by catering to diverse interests. Football fanatics are enthralled by… Continue reading on Towards Data Science »

The Math Behind KNN

The Math Behind K-Nearest Neighbors Why is K-Nearest Neighbors one of the most popular machine-learning algorithms? Let’s understand it by diving into its math, and building it from scratch. Image generated by DALL-E K-Nearest Neighbors is one of the most popular machine-learning

A Day in the Life of an Analytics Consultant in 2024

Everything you’d ever want to know about a day in the life of a data professional! Continue reading on Towards Data Science »

Automatic Labeling of Object Detection Datasets Using GroundingDino

A practical guide to tag object detection datasets with the GroundingDino algorithm. Code included. Annotations by the author using GroundingDino with the ‘ripened tomato’ prompt. Image by Markus Spiske. Introduction Until recently, object detection models performed a specific task, like detecting

Solving Differential Equations With Neural Networks

How Neural Networks are strong tools for solving differential equations without the use of training data Photo by Linus Mimietz on Unsplash Differential equations are one of the protagonists in physical sciences, with vast applications in engineering, biology, economy, and even social

How AI Can Remove Imperceptible Watermarks

Exploring the Vulnerabilities in Detecting AI-Generated Media High-level illustration of how invisible watermarking works. Image by author. Why do we Need Watermarks? Watermarks are all over the internet — and for obvious reasons. How else could you protect your art or photography from

Policy Gradients: The Foundation of RLHF

Understanding policy optimization and how it is used in reinforcement learning Continue reading on Towards Data Science »