The Culprit Ransomware is predicted to hit someone every 2 seconds by 2031. When it happens, you’re looking at 3+ weeks of downtime and millions in recovery costs. Here’s what actually works to prevent it, based on environments where people have successfully fought these attacks. Windows Environment Get endpoint protection that isn’t garbage Most antivirus is […]
The Need for Explainable AI Between 2013 and 2019, the Dutch tax authority’s algorithm flagged 26,000 families as potential fraudsters. The system worked exactly as programmed, spotting patterns in childcare benefit claims. But when investigators finally understood what the algorithm was doing, they discovered it was using nationality as a hidden factor. The result: thousands […]
AI Explainability Your smartphone can recognize your face in milliseconds. But ask it why it thinks that’s you instead of your twin, and you’ll get digital silence. Or a Confabulation (le’t s keep it real). This isn’t a small problem. We’re building AI systems that make medical diagnoses, approve loans, and control autonomous vehicles. Yet […]
Authored by Derrick Jackson & Co-Author Lisa Yu | Last updated 08/17/2025 Hello Everyone, Help us grow our community by sharing and/or supporting us on other platforms. This allow us to show verification that what we are doing is valued. It also allows us to plan and allocate resources to improve what we are doing, as we then […]
The Competitive Chasm: Act Now or Fall Behind? The global AI market is at a turning point, a moment where decisions today will shape outcomes for years to come. Imagine this: in 2024, the market is valued at $279 billion, but by 2030, it’s projected to soar to $1.8 trillion, growing at a stunning annual […]
New to LLMs? Start Here Towards Data Scienceon May 23, 2025 at 7:51 pm A guide to Agents, LLMs, RAG, Fine-tuning, LangChain with practical examples to start building
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A guide to Agents, LLMs, RAG, Fine-tuning, LangChain with practical examples to start building
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Estimating Product-Level Price Elasticities Using Hierarchical BayesianTowards Data Scienceon May 23, 2025 at 11:58 pm Using one model to personalize ML results
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Using one model to personalize ML results
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How to Evaluate LLMs and Algorithms — The Right WayTowards Data Scienceon May 23, 2025 at 2:02 pm Never miss a new edition of The Variable, our weekly newsletter featuring a top-notch selection of editors’ picks, deep dives, community news, and more. Subscribe today! All the hard work it takes to integrate large language models and powerful algorithms into your workflows can go to waste if the outputs you see don’t live up to expectations.
The post How to Evaluate LLMs and Algorithms — The Right Way appeared first on Towards Data Science.
Never miss a new edition of The Variable, our weekly newsletter featuring a top-notch selection of editors’ picks, deep dives, community news, and more. Subscribe today! All the hard work it takes to integrate large language models and powerful algorithms into your workflows can go to waste if the outputs you see don’t live up to expectations.
The post How to Evaluate LLMs and Algorithms — The Right Way appeared first on Towards Data Science. Read More
Do More with NumPy Array Type Hints: Annotate & Validate Shape & DtypeTowards Data Scienceon May 23, 2025 at 6:43 pm Improve static analysis and run-time validation with full generic specification
The post Do More with NumPy Array Type Hints: Annotate & Validate Shape & Dtype appeared first on Towards Data Science.
Improve static analysis and run-time validation with full generic specification
The post Do More with NumPy Array Type Hints: Annotate & Validate Shape & Dtype appeared first on Towards Data Science. Read More
Prototyping Gradient Descent in Machine LearningTowards Data Scienceon May 24, 2025 at 1:12 am Mathematical theorem and credit transaction prediction using Stochastic / Batch GD
The post Prototyping Gradient Descent in Machine Learning appeared first on Towards Data Science.
Mathematical theorem and credit transaction prediction using Stochastic / Batch GD
The post Prototyping Gradient Descent in Machine Learning appeared first on Towards Data Science. Read More