AI

KGs Insights A Python hands-on guide to understanding the principles for generating new knowledge following logical processes Giuseppe Futia · Follow Published in Towards Data Science · 9 min read · 2 hours ago — Figure 1 — An end-to-end process illustrating how starting statements lead to inferred ones through ontology reasoning Introduction Reasoning capabilities are a widely discussed topic in the context of AI systems. These capabilities are often associated with Large Language Models

Using Ollama, Llama3, Continue, and Open WebUI to bring a safe, local, open source, and free virtual assistant experience Jeremy DiBattista · Follow Published in Towards Data Science · 5 min read · 2 hours ago — Photo by Chris on Unsplash I tell people all the time that I use local LLMs to optimize my daily workflow, including a locally hosted ChatGPT-like UI along with free coding autocomplete integration (similar to Copilot) into VSCode,

ENSEMBLE LEARNING Fitting to errors one booster stage at a time Samy Baladram · Follow Published in Towards Data Science · 11 min read · 9 hours ago — Decision Tree Regressor, Explained: A Visual Guide with Code Examples Trimming branches smartly with Cost-Complexity Pruning towardsdatascience.com Of course, in machine learning, we want our predictions spot on. We started with simple decision trees — they worked okay. Then came Random Forests and AdaBoost, which did

Using a model’s robustness to outliers to detect them Michael Zakhary · Follow Published in Towards Data Science · 8 min read · Sep 28, 2023 — Photo by Will Myers on Unsplash Problem Statement The problem of outlier detection can be tricky, especially if the ground truth or the description of what is an outlier is ambiguous or based upon multiple factors. Mathematically speaking, an outlier can be defined as data points more than

3 cases to prove this from my own experience Radmila M. · Follow Published in Towards Data Science · 8 min read · 11 hours ago — Photo by Ashley Batz on Unsplash Foreword Once upon a time I used to study Petroleum Engineering. Honestly, I was enrolled in a bachelor’s degree almost by accident. At school I liked Physics and Math, thus I definitely wanted to study STEM at the university. At that time,

Do technicolour bars really help make a story clear? Jose Parreño · Follow Published in Towards Data Science · 12 min read · 1 hour ago — Image created with Dall-e Welcome to the fourth post in my “Plotly with code” series! If you missed the first one, you can check it out in the link below, or browse through my “one post to rule them all” to follow along with the entire series or

An end-to-end project using the CRISP-DM framework Gustavo Santos · Follow Published in Towards Data Science · 22 min read · 11 hours ago — Image created by AI. OpenAI. CRISP-DM Project Lifecycle Framework for Data Science. DALL-E, 2024. Introduction CRISP-DM stands for Cross-Industry Standard Process for Data Mining, a data mining framework open to anyone who wants to use it. Its first version was created by SPSS, Daimler-Benz and NCR. Then, a group of

But it will depend on your GPU Benjamin Marie · Follow Published in Towards Data Science · 5 min read · 12 hours ago — Image generated with ChatGPT Torch Compile (torch.compile) was first introduced with PyTorch 2.0, but it took several updates and optimizations before it could reliably support most large language models (LLMs). when it comes to inference, torch.compile can genuinely speed up decoding with only a small increase in memory usage. In

Understanding the Connections Between Variables: A Comprehensive Guide to Correlation Matrices and Their Applications Niklas Lang · Follow Published in Towards Data Science · 13 min read · 13 hours ago — Photo by ZENG YILI on Unsplash Data analysis is primarily used to identify and quantify correlations and patterns between variables so that they can be used for future predictions and corresponding models can be trained. The correlation matrix is a crucial method that

Follow along for a Python generative art tutorial, inspired by Piet Mondrian and Josef Albers. From Code to Canvas, Part I. Anna Gordun Peiro · Follow Published in Towards Data Science · 6 min read · 14 hours ago — Which are the three real pieces? Image by Author. Piet Mondrian’s works are Public Domain. An artwork falls into the public domain 70 years after the death of the artist. One of these pieces has