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πŸ“Œ Explainable Anomaly Detection with RuleFit: An Intuitive Guide

πŸ—‚ Category: MACHINE LEARNING

πŸ•’ Date: 2025-07-04 | ⏱️ Read time: 13 min read

Creating interpretable rules to characterize the identified anomalies
πŸ“Œ Fairness Pruning: Precision Surgery to Reduce Bias in LLMs

πŸ—‚ Category: LARGE LANGUAGE MODELS

πŸ•’ Date: 2025-07-03 | ⏱️ Read time: 15 min read

From unjustified shootings to neutral stories: how to fix toxic narratives with selective pruning
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πŸ“Œ GraphRAG in Action: A Simple Agent for Know-Your-Customer Investigations

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2025-07-03 | ⏱️ Read time: 19 min read

This blog post provides a hands-on guide for AI engineers and developers on how to…
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πŸ“Œ June Must-Reads: AI Agents, Dashboards, and More

πŸ—‚ Category: THE VARIABLE

πŸ•’ Date: 2025-07-03 | ⏱️ Read time: 4 min read

A selection of our most-read and -shared articles of the past month.
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πŸ“Œ Taking ResNet to the Next Level | ResNeXt

πŸ—‚ Category: DEEP LEARNING

πŸ•’ Date: 2025-07-02 | ⏱️ Read time: 25 min read

Understanding how ResNeXt improves upon ResNet, with a comprehensive PyTorch implementation guide
πŸ“Œ Software Engineering in the LLM Era

πŸ—‚ Category: LARGE LANGUAGE MODELS

πŸ•’ Date: 2025-07-02 | ⏱️ Read time: 13 min read

On growing new software engineers, even when it’s inefficient
πŸ“Œ Interactive Data Exploration for Computer Vision Projects with Rerun

πŸ—‚ Category: COMPUTER VISION

πŸ•’ Date: 2025-07-02 | ⏱️ Read time: 6 min read

Analyse dynamic signals in a computer vision pipeline in Python using OpenCV and Rerun
πŸ“Œ Four AI Minds in Concert: A Deep Dive into Multimodal AI Fusion

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2025-07-02 | ⏱️ Read time: 36 min read

Introduction: From System Architecture to Algorithmic Execution In my previous article, I explored the architectural…
πŸ“Œ Why We Should Focus on AI for Women

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2025-07-02 | ⏱️ Read time: 6 min read

A simulation study on gender disparities entrenched in AI.
πŸ“Œ How to Maximize Technical Events β€” NVIDIA GTC Paris 2025

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2025-07-02 | ⏱️ Read time: 10 min read

Learn about my experience at NVIDIA GTC Paris 25, and how you can get the…
πŸ“Œ How to Access NASA’s Climate Data β€” And How It’s Powering the Fight Against Climate Change Pt. 1

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2025-07-01 | ⏱️ Read time: 11 min read

From architectural design to food security.
πŸ“Œ STOP Building Useless ML Projects – What Actually Works

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2025-07-01 | ⏱️ Read time: 7 min read

How to find machine learning projects that will get you hired.
πŸ“Œ An Introduction to Remote Model Context Protocol Servers

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2025-07-01 | ⏱️ Read time: 15 min read

Writing, testing and using them.
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πŸ“Œ Implementing IBCS rules in Power BI

πŸ—‚ Category: DATA VISUALIZATION

πŸ•’ Date: 2025-07-01 | ⏱️ Read time: 12 min read

Is there a way to use the out-of-the-box features of Power BI to be IBCS…
πŸ“Œ Revisiting Benchmarking of Tabular Reinforcement Learning Methods

πŸ—‚ Category: MACHINE LEARNING

πŸ•’ Date: 2025-07-01 | ⏱️ Read time: 9 min read

Introducing a modular framework and improving model performance.
πŸ“Œ From Reporting to Reasoning: How AI Is Rewriting the Rules of Data App Development

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2025-07-01 | ⏱️ Read time: 2 min read

Explore the shift from static reports to intelligent apps with our first ebook.
πŸ“Œ Prescriptive Modeling Makes Causal Bets – Whether You Know it or Not!

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2025-06-30 | ⏱️ Read time: 16 min read

An explanation of the causal assumption implicit in prescriptive modeling and how to satisfy it.
πŸ“Œ A Gentle Introduction to Backtracking

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2025-06-30 | ⏱️ Read time: 7 min read

Conceptual overview and hands-on examples
πŸ“Œ Lessons Learned After 6.5 Years Of Machine Learning

πŸ—‚ Category: MACHINE LEARNING

πŸ•’ Date: 2025-06-30 | ⏱️ Read time: 7 min read

Deep work, trends, data, and research