Remove 2006 Remove Modeling Remove Uncertainty
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The trinity of errors in financial models: An introductory analysis using TensorFlow Probability

O'Reilly on Data

An exploration of three types of errors inherent in all financial models. At Hedged Capital , an AI-first financial trading and advisory firm, we use probabilistic models to trade the financial markets. All financial models are wrong. Clearly, a map will not be able to capture the richness of the terrain it models.

Modeling 134
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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. He has held this position since March 2006. To learn more, visit Broadcom.

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Towards optimal experimentation in online systems

The Unofficial Google Data Science Blog

Crucially, it takes into account the uncertainty inherent in our experiments. Experiments, Parameters and Models At Youtube, the relationships between system parameters and metrics often seem simple — straight-line models sometimes fit our data well. It is a big picture approach, worthy of your consideration.

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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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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. He has held this position since March 2006. We co-create with them, and we invest in continuously addressing their needs.

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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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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. He has held this position since March 2006.