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The Universal Approximation Theorem states that a neural network with a single hidden layer and a nonlinear activation function can approximate any continuous function.  Practical issues aside, such that the number of neurons in this hidden layer would grow enormously large, we do not need other network architectures. A simple feed-forward neural network could do the trick. […]

You see a math formula you don’t immediately understand. Your instinct? Stop reading. Don’t. That’s exactly what I told myself when I started reading Probabilistic Machine Learning – An Introduction by Kevin P. Murphy. And it was absolutely worth it. It changed how I think about machine learning. Sure, some formulas might look complicated at

Prompt engineering alone won’t get us to production. Fine-tuning is expensive. And reinforcement learning? That’s been reserved for well-funded labs with massive datasets until now. New research from Microsoft and academic collaborators has overturned that assumption. Using Reinforcement Learning with Verifiable Rewards (RLVR) and just a single training example, researchers achieved results on par with

If you’ve followed me for a while, you probably know I started my career as a QA engineer before transitioning into the world of data analytics. I didn’t go to school for it, didn’t have a mentor, and didn’t land in a formal training program. Everything I know today—from SQL to modeling to storytelling with

This article is co-authored by Ugo Pradère and David Haüet How hard can it be to transcribe an interview? You feed the audio to an AI model, wait a few minutes, and boom: perfect transcript, right? Well… not quite. When it comes to accurately transcribe long audio interviews, even more when the spoken language is

As political support for sustainability weakens, the need for long-term sustainable practices has never been more critical. How can we use analytics, boosted by agentic AI, to support companies in their green transformation? For years, the focus of my blog was always on using Supply Chain Analytics methodologies and tools to solve specific problems. Four

Artificial intelligence (AI) capabilities and autonomy are growing at an accelerated pace in Agentic Ai, escalating an AI alignment problem. These rapid advancements require new methods to ensure that AI agent behavior is aligned with the intent of its human creators and societal norms. However, developers and data scientists first need an understanding of the