Category Archives: Machine Learning

Consuming ML models for Operational Decisions

During DecisionCAMP-2020 Vendor’s Panel, Guilhem Molines announced availability of new IBM Automation Decisions Services (ADS). This article describes how ADS incorporates Machine Learning in Decision Modeling. Link

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Extracting Data from Templatic Documents

In this article Google researches describe a novel approach using representation learning for tackling the problem of extracting structured information from templatic documents, such as receipts, bills, or insurance quotes. They “propose an extraction system that uses knowledge of the … Continue reading

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Bob Moore: building a learning model is a learning process in itself

Dr. Bob Moore accepted our Jan-2020 Challenge “Nim” and provided a very interesting machine learning solution. He applied a self-learning approach by playing games in which both players use the latest learned strategies that are being constantly improved. In a … Continue reading

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Undecidability

Walid Saba pointed to the article “Machine learning leads mathematicians to unsolvable problem” that states that a simple artificial-intelligence problem puts researchers up against a logical paradox discovered by Kurt Gödel. “The undecidability in the latest results points to what … Continue reading

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An “Embarrassing” Challenge for ML/DL experts

Walid Saba published “An Embarrassing Challenge“. He states that it would be no problem for a 4-year old to point to the teacher and to the mother on these pictures: But can an ML/DL algorithm recognize who is who? Link

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Adding human reviews to machine learning applications

On April 24 Amazon announced the general availability of Augmented Artificial Intelligence (A2I), a fully managed service that makes it easy to add human review to machine learning predictions to improve model and application accuracy by continuously identifying and improving … Continue reading

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Can analytics predict epidemics?

Angrew Ng published an interesting article “Stopping Coronavirus” in his Jan 29 issue of The Batch. It talks about a Canadian company that analyzes online information to predict epidemics spotted the upsurge in coronavirus at least a week ahead of … Continue reading

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Deep Learning State of the Art (2020)

Lex Fridman gave a lecture on recent developments in deep learning and AI, and hopes for 2020 as a part of the MIT Deep Learning Lecture Series. Watch

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Evaluating Machine Learning Models

KDnuggets’s post “Idiot’s Guide to Precision, Recall, and Confusion Matrix” provides an intuitive explanation of how to evaluate Classification models. “Building Machine Learning models is fun, but making sure we build the best ones is what makes a difference. Follow … Continue reading

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Learning to Learn

We humans have the unique ability to learn from any situation or surrounding. We adapt our learning. We can figure out how we can learn. To acquire this kind of flexibility in learning, AI needs to have an effective and … Continue reading

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