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Category Archives: Machine Learning
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
Continuous Delivery for Machine Learning
ThoughtWorks put out an article about Continuous Delivery for Machine Learning: “Machine Learning applications are becoming popular in our industry, however the process for developing, deploying, and continuously improving them is more complex compared to more traditional software, such as … Continue reading
Posted in Architecture, Machine Learning
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