Category Archives: Machine Learning

Data Decisioning

Data Decisioning was recently founded by Peter Schooff and John Morris, two veterans with decades of success in enterprise technology. Why? “What’s more important than data to today’s enterprise? The decisions a company makes based on that data will determine their success … Continue reading

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Google: Your Deep-Learning-Tools-for-Enterprises Startup Will Fail

Today Peter Norvig, the Research Director at Google, posted at LinkedIn: Whether you like it or not, selling enterprise tools for machine learning is really hard. Why? The industry is still fragmented, too many different components and moving parts without standardization, … Continue reading

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Adversarial Machine Learning

Machine learning techniques were originally designed for stationary and benign environments in which the training and test data are assumed to be generated from the same statistical distribution. However, when those models are implemented in the real world, the presence of … Continue reading

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Decision Optimization fueling growth in Energy and Utilities

Decision optimization and machine learning techniques are driving better resource planning and scheduling decisions at Energy & Utilities for a range of use cases like power generation planning, pricing optimization and more. Link

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Statistical Methods with Domain-based Models

This WSJ article gives examples when ML-based solutions have been enhanced by the inclusion of pre-defined domain-specific models. “Machine learning is a statistical modeling technique, which finds and correlates patterns between inputs and outputs without necessarily capturing their cause-and-effect relationships. … Continue reading

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Can man ever build a mind?

On Jan 10, 2019 Financial Times published an interesting article written by a UK neurosurgeon that lists AI problems: “The biggest is that brains are nothing like computers” “The human brain, it is suggested, will never be able to understand itself. You cannot cut … Continue reading

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Challenge Jan-2019 “Identify Unfriendly Robots”

Our Jan-2019 Challenge asks you to help a cyber police to specify rules that identify if a robot is friendly or unfriendly. The rules can be expressed in terms of any features you can see in robots, such as the shape … Continue reading

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