This simple spreadsheet of machine learning foibles may not look like much but it’s a fascinating exploration of how machines “think.” The list, compiled by researcher Victoria Krakovna, describes various situations in which robots followed the spirit and the letter of the law at …

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In the midst of a recent engagement an executive suddenly asked, “Are we using Machine Learning?”. This caught us off-guard; working in the field for many years, we use the “learning sciences” virtually every day to solve hard problems.

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Here’s how solutions already on the market today are using ML to improve data center uptime and efficiency.

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Risk USA: Most firms supervise their models, but one expert says they can be trusted to make decisions

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Moving forward, using machine learning to optimize media quality for real-time communications is going to be critical.

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What math subjects are used in machine learning, and how are they used? In this research paper by Richard Han, Ph.D., we look at the mathematics behind the machine learning techniques linear regression, linear discriminant analysis, logistic regression, artificial neural networks, and support vector machines.

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As you progress to a fully-functional machine learning-based recruitment system, candidates will find it works for them as well because if candidates aren't suitable for one role, the system will automatically match them up with another.

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Getting a great candidate for a job requires writing a good job description and being careful about AI-driven hiring trends. Plus, how data science is applied to higher education.

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Banks and regulators grapple with ‘XAI’ challenge

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Machine learning services in the cloud continue to rise in popularity, as enterprises crave greater insight into their data and look to build more interactive applications. AWS, Azure, Google and IBM all have a wide range of machine learning tools, but how much do you know about them?

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