Remove articles explainable-ai-interpreting-complex-ai-and-ml-models
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Diving Deep Into The World Of Data Science With Ashutosh Kumar

Hacker Earth Developers Blog

Ashutosh: I have been a part of recruitment in the data science field for nearly 14 years of my career and have recruited for successful startups (seed to Series D) and MNCs across levels (entry, junior, mid and senior management) and profiles including data analysts, data scientist, ML engineers, full stack developers, and DevOps/MLOps.

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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?

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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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Interpretability in Machine Learning: the Look into Explainable AI

Altexsoft

In yearly 2018, Pedro Domingos, who’s a Professor of computer science at the University of Washington, tweeted : Starting May 25, the European Union will require algorithms to explain their output, making deep learning illegal. Domingos referenced a common truth about complex machine learning models, where deep learning belongs.

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The Future is Now: Embracing AI Platforms to Stay Ahead in Business

Openxcell

Transformative power of AI in business Artificial Intelligence (AI) has transcended science fiction and emerged as a captivating and intriguing concept. AI has swiftly evolved as a game-changer in business by automating mundane tasks while predicting market trends.