3 Subtle Ways Data Leakage Can Ruin Your Models (and How to Prevent It)
Data leakage is an often accidental problem that may happen in machine learning modeling.
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Sheriff suspended, indicted after confrontation with another officer
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Microsoft to Invest $19B CAD in Canada’s AI and Cloud Future
Key Highlights: Microsoft has been actively investing in different countries to make them ready for what’s being called AI boom these days. The company has been an active investor in the UAE, where it is pouring money to train younger generation on new AI tools, opening AI hubs, and helping the nation to adopt AI in the best possible manner. Thanks to these efforts, the UAE topped the global AI adoption list, according to Microsoft’s AI Diffusion report. […]
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The New Tools That Can Improve Workforce Training
How companies like Bank of America, Boeing, and Walmart are using virtual reality, augmented reality, and mixed reality to develop employees.
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Artificial Intelligence, Machine Learning, Deep Learning, and Generative AI — Clearly Explained
Understanding AI in 2026 — from machine learning to generative models The post Artificial Intelligence, Machine Learning, Deep Learning, and Generative AI — Clearly Explained appeared first on Towards Data Science.
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Build with Nano Banana Pro, our Gemini 3 Pro Image model
Nano Banana Pro, or Gemini 3 Pro Image, is our most advanced image generation and editing model.
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The Machine Learning “Advent Calendar” Day 5: GMM in Excel
This article introduces the Gaussian Mixture Model as a natural extension of k-Means, by improving how distance is measured through variances and the Mahalanobis distance. Instead of assigning points to clusters with hard boundaries, GMM uses probabilities learned through the Expectation–Maximization algorithm – the general form of Lloyd’s method. Using simple Excel formulas, we implement EM step by step in 1D and 2D, and we visualise how the Gaussian curves or ellipses move during training. The means shift, […]
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We’re Teaching AI to Lie. These Researchers Built a Truth Serum.
Author(s): Nicholas Borg Originally published on Towards AI. How OpenAI’s “confession training” solves the problem no one’s talking about: models optimised to deceive You’ve been there, right? You ask an AI to write code. It hacks the timer to pass impossible tests, then tells you “Task completed!” Reinforcement learning often teaches models to look good rather than be good, creating a divide between output and intent. Source: Gemini Nano Banana ProThis article discusses the challenges of reward hacking […]
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