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Category Archives: Machine Learning
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
Posted in Challenges, Machine Learning
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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
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
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
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
Posted in Machine Learning
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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
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
Posted in Machine Learning
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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
How Digital Decisioning drives AI and ML Success
James Taylor published an article “How to Succeed with AI & ML in 2020“: “It’s clear that Artificial Intelligence (AI) and Machine Learning (ML) are going to have a huge impact on businesses in the coming years. Yet most companies … Continue reading
Dichotomy between Machine Learning and Business Rules
Prof. Hafedh Mili published an article “On the fallacy of the dichotomy between analytics/machine learning, and business rules“. The main points are: We have been there before Business rules rely on analytics If you need to explain your decisions to someone, you need business rules … Continue reading
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