Category Archives: Machine Learning

AI is not equal to ML

Alain Chabrier from IBM Decision Optimization team in his Medium.com article argues that not only “AI != ML” pointing to the difference between Data-driven and Knowledge-driven decision models. He even claims that “Decision Optimization has more impact on the real … Continue reading

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Recent Advances in Google Translate

Google Translate was introduced in 2016 and it enabled great improvements to the quality of translation for over 100 languages since then. In this post Google Research describes how recent advances in machine learning drive improvements to automated translation. Link

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Pragmatic Approach to Predictive Decision Automation

In this webinar Red Hat specialists explain how explainable Predictive Decisioning can help us trust AI. Their  approach combines AI/ML, decision optimization, and traditional business rules to better understand the factors that contribute to an automated decision. They use the … Continue reading

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Decision-Driven Data Analytics

“Data analysts often fail to produce insights for making effective business decisions, but that’s not their fault. Data-driven decision-making anchors on available data. This often leads decision makers to focus on the wrong question. Decision-driven data analytics starts from a proper … Continue reading

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Enhancing Process Management with Process Mining

Max Tay published this article: “Growing numbers of vendors rolling out process mining platforms and its adoption is growing steadily, transitioning from early adopters to becoming one of the latest trendy tools in the industries. It has come out of … Continue reading

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The Decision-Making Side of Machine Learning

Michael I. Jordan is a professor at Berkeley and one of the most influential people in machine learning, statistics, and artificial intelligence. Watch his recent presentation: “Much of the recent focus in machine learning has been on the pattern-recognition side … Continue reading

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How to Evaluate Performance of Machine Learning Models

A new post in KDnuggets explains “How to Evaluate the Performance of Your ML Model“: “You can train your supervised machine learning models all day long, but unless you evaluate its performance, you can never know if your model is … Continue reading

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Self-Learning Decision Models

The next monthly DecisionCAMP session with this topic is scheduled to run on Sep 4 at 12:00 PM EST – get a Zoom URL at our Slack channel. Here is the abstract: “A new open source RuleLearner.com is oriented to business … Continue reading

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The AI Evolution and the Challenge of Decision Automation

In his latest post Prof. Warren Powell contrasts “using AI to automate decisions to Tesla’s aggressive use of robotics to automate their assembly lines. It is important to understand the most common use of AI today (machine learning) with the … Continue reading

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ML & FSM help amputees walk more naturally

Researchers from the University of Utah designed a robotic leg that learns from the user’s motion how to help amputees walk more naturally.  It uses machine learning to generate a human-like stride. It also helps wearers step over obstacles in … Continue reading

Posted in Artificial Intelligence, Machine Learning, State Machines | Leave a comment