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Explaining black-box models using attribute importance, PDPs, and LIME

Domino Data Lab

The need for interaction – complex decision making systems often rely on Human–Autonomy Teaming (HAT), where the outcome is produced by joint efforts of one or more humans and one or more autonomous agents. PDPs for the bicycle count prediction model (Molnar, 2009). This trust must be paramount when human lives are at stake.

Modeling 139
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AI Advances Drive New Generation of Browser-Based Solutions

Smart Data Collective

The best part is that many of these web apps are using AI technology to provide the optimal user experience. Web developers know that they’re working within the constraints of a browser, so they tend to optimize their product to operate as efficiently as possible with fewer computing resources.

Risk 114
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4 IRM Market Trends Will Accelerate in COVID-19 Recovery

John Wheeler

In addition, 73% of the more than 760 IRM client interactions in 2019 were business leader focused. Unlike the 2008-2009 Great Recession that was financially-centered in its origin and resolution, the COVID-19 crisis in operationally-centered. In 2019, Gartner saw a 36% increase in IRM client inquiry by business leaders.

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Sirius and Aceso Partner to Deliver the Patient Room of the Future

CDW Research Hub

Sirius), a leading national IT solutions integrator, and Aceso ® Interactive (Aceso), a premier provider of interactive patient care and digital media solutions, are partnering to raise the bar in patient care through the UpTech and UpCare solutions, Aceso’s next-generation integrated technology platform. About Aceso Interactive, Inc.:

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Emerging Trends: 4 IRM Market Insights to Aid COVID-19 Business Recovery

John Wheeler

In addition, 73% of the 760 IRM client interactions in 2019 were business leader focused1. Unlike the 2008-2009 Great Recession that was financially-centered in its origin and resolution, the COVID-19 crisis is operationally-centered. It will remain as a new way of conducting business in a cost-optimized, more efficient environment.

Marketing 110
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Fitting Support Vector Machines via Quadratic Programming

Domino Data Lab

Selecting the optimal decision boundary, however, is not a straightforward process. The distance from an arbitrary data point (boldsymbol{x}_i) to the optimal hyperplane in our case is given by. We now turn our attention to the problem of finding the optimal hyperplane. Derivation of a Linear SVM.

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Adding Common Sense to Machine Learning with TensorFlow Lattice

The Unofficial Google Data Science Blog

TF Lattice offers semantic regularizers that can be applied to models of varying complexity, from simple Generalized Additive Models, to flexible fully interacting models called lattices, to deep models that mix in arbitrary TF and Keras layers. There is a robust set of tools for working with these kinds of constrained optimization problems.