November 25, 2024

Photo by Eric Prouzet on Unsplash Blazing-fast constraint solving in pure Python Yan Georget · Follow Published in Towards Data Science · 6 min read · 3 days ago — TLDR NuCS is a Python library for solving Constraint Satisfaction and Optimisation Problems (CSP and COP) that I am developing as a side project. Because it is 100% written in Python, NuCS is easy to install and allows to model complex problems in a few

Step-by-step exploration of statistical methods, data visualization, and regression analysis Leo Anello · Follow Published in Towards Data Science · 31 min read · 7 hours ago — Overview This project focuses on statistical analysis using Python, applying various techniques to uncover insights from a fictitious dataset inspired by real-world cancer treatment experiments. While the dataset itself is simulated, the project draws inspiration from research standards such as McGill University’s Standard Operating Procedures, emphasizing both

Despite tremendous progress in AI, the economic implications of AI remain inadequately understood, with unsatisfactory insights from AI practitioners and economists Isaac Tham · Follow Published in Towards Data Science · 31 min read · 7 hours ago — Source: Image generated using Grok/X Table of Contents Jump to the Executive Summary (2 min read) ∘ Introduction to Economic Model ∘ Impact of an Advancement in AI ∘ Which workers will be automated or augmented?

Turn your Pandas data frame into a knowledge graph using LLMs. Build your own LLM graph-builder from scratch, implement LLMGraphTransformer by LangChain, and QA your KG. Cristian Leo · Follow Published in Towards Data Science · 36 min read · 7 hours ago — Knowledge Graph about 1000 Movies from Wikipedia — Image by Author In today’s AI world, knowledge graphs are becoming increasingly important, as they enable many of the knowledge retrieval systems behind