Remove 2005 Remove Modeling Remove Uncertainty
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Accelerating VMware’s growth

CIO Business Intelligence

Unlocking VMware’s potential Broadcom’s business model and its decades of focus on R&D combined with VMware’s core technology and superb talent will be the catalysts that will enable VMware to capture the growth opportunity in front of it. VMware needs more partners to grow, and we will help it succeed in doing so.

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Coding for the Future of U.S. National Defense

CIO Business Intelligence

It’s a model that is also drawing the attention of other U.S. While the list of factors presented here is, and the list of factors presented in the registration statement on Form S-4 are, considered representative, no such list should be considered to be a complete statement of all potential risks and uncertainties. government.

Software 113
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Burnout: An IT epidemic in the making

CIO Business Intelligence

The stages of burnout Developing over time, burnout builds in distinct stages that lead employees down a path of low motivation, cynicism, and eventually depersonalization, according to Yerbo’s The State of Burnout in Tech report, which points to 2005 research by Salanova and Schaufeli on the subject.

IT 133
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Broadcom’s Approach Towards Delivering Customer Value

CIO Business Intelligence

Instead, our entire business model is grounded in the belief that we can create innovative solutions that will deliver on our customers’ needs over time and progress through multiple generations of technology. From September 2005 to January 2008, he served as chairman of the board of Integrated Device Technology.

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What a Combined Broadcom and VMware Can Deliver to Our Customers

CIO Business Intelligence

The Broadcom business case for this transaction is premised on focusing on the business model, increasing R&D, and executing so that customers see the value of the full portfolio of innovative product offerings — not on increasing prices. VMware develops technology for the future and addresses a growing market.

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Using random effects models in prediction problems

The Unofficial Google Data Science Blog

KUEHNEL, and ALI NASIRI AMINI In this post, we give a brief introduction to random effects models, and discuss some of their uses. Through simulation we illustrate issues with model fitting techniques that depend on matrix factorization. Random effects models are a useful tool for both exploratory analyses and prediction problems.

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Measuring Validity and Reliability of Human Ratings

The Unofficial Google Data Science Blog

Editor's note : The relationship between reliability and validity are somewhat analogous to that between the notions of statistical uncertainty and representational uncertainty introduced in an earlier post. But for more complicated metrics like xRR, our preference is to bootstrap when measuring uncertainty.