Category Archives: Machine Learning

The Myth of Data-Driven Natural Language Understanding

Walid Saba published a short presentation on the difference between Natural Language Processing (NLP) and Natural Language Understanding (NLU) and why the data-driven approach, while useful for some NLP tasks, is irrelevant to NLU. Link

Posted in Artificial Intelligence, Machine Learning, Natural Language Processing | Leave a comment

Google’s What-If Tool for Machine Learning Models

Building effective machine learning (ML) systems means asking a lot of questions. It’s not enough to train a model and walk away. Instead, good practitioners act as detectives, probing to understand their model better: How would changes to a datapoint affect … Continue reading

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How DMN could help to explain ML outcome

Dr Jan Purchase just published an article “Better AI Transparency Using Decision Modeling“, in which he describes several possible ways to provide reasonable explanations to the outcome of machine learning algorithms. Jan without hesitations describes practical limitations of the described approaches.  Jan … Continue reading

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Chaining Machine Learning and Optimization Models

Machine learning is about predicting, while optimization is about solving (searching for the values of variables that lead to the best outcomes). The latest Nathan Brixius’s post discusses different ways of combining optimization and machine learning: 1. Optimization as a means … Continue reading

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How to use traditional scorecards and AI together

Which works better for modeling credit risk: traditional scorecards or artificial intelligence and machine learning? Given the excitement around AI today, this question is inevitable. The fact is that traditional scorecard methods and AI bring different advantages to credit risk … Continue reading

Posted in Business Analytics, Decision Modeling, Machine Learning | Leave a comment

Google adds accelerated ML to the embedded devices

Coming this fall. Google will offer small, portable versions of its custom machine learning chips, embedded in boards or USB devices. “The Edge TPU is a small ASIC designed by Google that provides high performance ML inferencing for low-power devices. … Continue reading

Posted in Human-Machine Interaction, Machine Learning, Trends | Leave a comment

Decisions require judgment

NPR just published an article that says: “Facial recognition software sold by Amazon mistakenly identified 28 members of Congress as people who had been arrested for crimes, the American Civil Liberties Union announced on Thursday. Amazon Rekognition has been marketed as … Continue reading

Posted in Machine Learning | 1 Comment