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Category Archives: Machine Learning
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
Posted in Machine Learning, Optimization
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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
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
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
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Data Science Dead in 5 Years or Less?
Justin B. Dickerson just published an article with the above title (without a question mark): “Did I get your attention? I hope so because we’re facing a significant problem in the data science market that no one is talking about.” … Continue reading
Posted in Data Science, Machine Learning, Trends
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Machine Learning Yearning
Andrew Ng is regularly updating a draft of his book “ML Yearning“. “Machine learning is the foundation of countless important applications, including web search, email anti-spam, speech recognition, product recommendations, and more. I assume that you or your team is working … Continue reading
Posted in Machine Learning
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NYT Interview with Benjamin Grosof
New Your Times published an interview with Benjamin Grosof, a leading AI expert and a frequent presenter at RuleML+RR and DecisionCAMP. While deep learning comes from the statistical side of AI, the interview brings attention to non-deep learning tools such as Prolog, a programming language … Continue reading
