How attention helped models like RNNs mitigate the vanishing gradient problem and capture long-range dependencies among words
The post A Simple Implementation of the Attention Mechanism from Scratch appeared first on Towards Data Science.

A guide for students and professionals to build real-world projects and showcase their skills using the Supply Chain Analytics Cheat Sheet.
The post Create Your Supply Chain Analytics Portfolio to Land Your Dream Job appeared first on Towards Data Science.

From foundation models to vector databases and AI agents — what makes modern AI work
The post Understanding the Tech Stack Behind Generative AI appeared first on Towards Data Science.

One year later: what I learned still matters
The post My Learning to Be Hired Again After a Year… Part 2 appeared first on Towards Data Science.

Combining CNNs and Transformers to Elevate Fine-Grained Visual Classification
The post The Art of Hybrid Architectures appeared first on Towards Data Science.

Running a large data integration project before embarking on the ML part is easily a bad idea, because you integrate data without knowing its use . The chances that the data is going to be fit for purpose in some future ML use case is slim, at best
This article shows how having people talking together helps avoid the trap of premature data integration in ML projects, optimising value for money.
The post A Little More Conversation, A Little Less Action — A Case Against Premature Data Integration appeared first on Towards Data Science.

Learn the complete 3D reconstruction pipeline from feature extraction to dense matching. Master photogrammetry with Python code examples and open-source tools.
The post Master the 3D Reconstruction Process: A Step-by-Step Guide appeared first on Towards Data Science.

Build from scratch using only Ollama (no GPU, no APIKEY)
The post AI Agents from Zero to Hero — Part 3 appeared first on Towards Data Science.