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Category Archives: Machine Learning
Improving code vs improving data quality
Andrew Ng: “Traditional software is powered by code, whereas AI systems are built using both code (models + algorithms) and data. When a system isn’t performing well, many teams instinctually try to improve the code. But for many practical applications, … Continue reading
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Can Your Machine Learning Do the Lambada?
Ulrich Wiesner from FICO wrote: “Machine learning and data analytics are powerful methods, but typically the benefits do not come without effort, and careful considerations are required to make these tools efficient. When you purchase a tool or service, make … Continue reading
Posted in Decision Modeling, Machine Learning
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Why a YouTube Chat About Chess Got Flagged for Hate Speech
This WIRED article talks about shortcomings in AI programs designed to automatically detect hate speech, abuse, and misinformation online. When WIRED fed some of statements gathered by the CMU researchers into two hate-speech classifiers, the statement “White’s attack on black is … Continue reading
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
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
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
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
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
Posted in BPM, Machine Learning, Process Mining
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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
Posted in Decision Making, Machine Learning
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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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