Remove articles explainable-ai-interpreting-complex-ai-and-ml-models
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Why you should care about debugging machine learning models

O'Reilly Media - Data

For all the excitement about machine learning (ML), there are serious impediments to its widespread adoption. Not least is the broadening realization that ML models can fail. And that’s why model debugging, the art and science of understanding and fixing problems in ML models, is so critical to the future of ML.

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What to Do When AI Fails

O'Reilly Media - Ideas

All this change could wreak havoc on artificial intelligence (AI) systems. The most common types of AI systems are still only as good as their training data. If there’s no historical data that mirrors our current situation, we can expect our AI systems to falter , if not fail. What is an incident when it comes to an AI system?

Security 144
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Seven Legal Questions for Data Scientists

O'Reilly Media - Ideas

Variants of artificial intelligence (AI), such as predictive modeling, statistical learning, and machine learning (ML), can create new value for organizations. AI can also cause costly reputational damage, get your organization slapped with a lawsuit, and run afoul of local, federal, or international regulations.

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Of Muffins and Machine Learning Models

Cloudera

In this example, the Machine Learning (ML) model struggles to differentiate between a chihuahua and a muffin. Will the model correctly determine it is a muffin or get confused and think it is a chihuahua? The extent to which we can predict how the model will classify an image given a change input (e.g. Model Visibility.

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7 Best Practices to Use While Annotating Images

Altexsoft

This is a guest article by tech writer Melanie Johnson. No matter how big or small your machine learning (ML) project might be, the overall output depends on the quality of data used to train the ML models. That said, data annotation is key in training ML models if you want to achieve high-quality outputs.

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Bringing an AI Product to Market

O'Reilly Media - Ideas

The Core Responsibilities of the AI Product Manager. Product managers for AI must satisfy these same responsibilities, tuned for the AI lifecycle. If you’re an AI product manager (or about to become one), that’s what you’re signing up for. Identifying the problem. Agreeing on metrics.

Marketing 145
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Language Models, Explained: How GPT and Other Models Work

Altexsoft

In 2020, a remarkable AI took Silicon Valley by storm. Dubbed GPT-3 and developed by OpenAI in San Francisco, it was the latest and strongest of its kind — a “large language model” capable of producing fluent text after having ingested billions of words from books, articles, and websites. What is a language model?