Category Archives: Machine Learning

Enhancing Process Management with Process Mining

Posted on October 29, 2020 by

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 →

Posted in BPM, Machine Learning, Process Mining | Leave a comment

The Decision-Making Side of Machine Learning

Posted on October 3, 2020 by

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 →

Posted in Decision Making, Machine Learning | Leave a comment

How to Evaluate Performance of Machine Learning Models

Posted on September 9, 2020 by

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 →

Posted in Machine Learning | Leave a comment

Self-Learning Decision Models

Posted on September 2, 2020 by

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 →

Posted in Decision Modeling, DecisionCAMP, Machine Learning | Leave a comment

The AI Evolution and the Challenge of Decision Automation

Posted on August 8, 2020 by

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 →

Posted in Artificial Intelligence, Decision Optimization, Machine Learning | Leave a comment

ML & FSM help amputees walk more naturally

Posted on August 6, 2020 by

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

Decision analytics: What is AI?

Posted on July 25, 2020 by

Prof. Warren B Powell from Princeton University: “The most common types of AI come in three flavors: rules, machine learning, and making decisions (“optimization”). Rules are used for guiding computers to identify patterns or make recommendations, and have to be … Continue reading →

Posted in Artificial Intelligence, Decision Making, Decision Optimization, Machine Learning | Leave a comment

Consuming ML models for Operational Decisions

Posted on July 3, 2020 by

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

Posted in Decision Modeling, Machine Learning, Products | Leave a comment

Extracting Data from Templatic Documents

Posted on June 12, 2020 by

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 →

Posted in Human-Machine Interaction, Machine Learning, Natural Language Processing | Leave a comment

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

Posted on May 30, 2020 by

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 | Leave a comment