Categories: AI/ML Research

Why Decision Trees Fail (and How to Fix Them)

Decision tree-based models for predictive machine learning tasks like classification and regression are undoubtedly rich in advantages — such as their ability to capture nonlinear relationships among features and their intuitive interpretability that makes it easy to trace decisions.
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Building a voice-driven AWS assistant with Amazon Nova Sonic

As cloud infrastructure becomes increasingly complex, the need for intuitive and efficient management interfaces has…

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Cloud CISO Perspectives: Our 2026 Cybersecurity Forecast report

Welcome to the first Cloud CISO Perspectives for December 2025. Today, Francis deSouza, COO and…

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As AI Grows More Complex, Model Builders Rely on NVIDIA

Unveiling what it describes as the most capable model series yet for professional knowledge work,…

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How Harmonic Security improved their data-leakage detection system with low-latency fine-tuned models using Amazon SageMaker, Amazon Bedrock, and Amazon Nova Pro

This post was written with Bryan Woolgar-O’Neil, Jamie Cockrill and Adrian Cunliffe from Harmonic Security…

2 days ago