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How Nvidia became a trillion-dollar company

CIO Business Intelligence

It was when Nvidia reported strong results for the three months to April 30, 2023, and forecast that its sales could jump by 50% in the following fiscal quarter, that its stock market valuation soared, catapulting it into the exclusive trillion-dollar club alongside well-known tech giants Alphabet, Amazon, Apple, and Microsoft.

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The Very Group adopts a data catalog to better organize and leverage its online retail capabilities

CIO Business Intelligence

It launched its first online-only brand, Very, in 2009 and finally abandoned its printed catalogs to go all-in online in 2015. It was very fragmented, and I brought it together into a hub-and-spoke model.”. The new model enables Very to design once and deploy everywhere, while maintaining a product focus. Where do we store it?

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PODCAST: COVID19 | Redefining Digital Enterprises – Episode 6: The Impact of COVID-19 on Supply Chain Management

bridgei2i

By allowing that, they could have a steady demand forecast based on sensing algorithms and react faster to such events. He has delivered hundreds of millions of dollars of impact to his clients in High-Tech CPG and Manufacturing Industries, particularly in the areas of demand forecasting, inventory and procurement planning. Transcript.

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Adding Common Sense to Machine Learning with TensorFlow Lattice

The Unofficial Google Data Science Blog

by TAMAN NARAYAN & SEN ZHAO A data scientist is often in possession of domain knowledge which she cannot easily apply to the structure of the model. On the one hand, basic statistical models (e.g. On the other hand, sophisticated machine learning models are flexible in their form but not easy to control.

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ML internals: Synthetic Minority Oversampling (SMOTE) Technique

Domino Data Lab

In this article we discuss why fitting models on imbalanced datasets is problematic, and how class imbalance is typically addressed. This carries the risk of this modification performing worse than simpler approaches like majority under-sampling. Using the adap learning algorithm to forecast the onset of diabetes mellitus.

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Three Best Practices for ASC 718 Reporting

Jet Global

In 2006, FAS123R contained new standards, which were reclassified in 2009 as ASC718. A number of different pricing models exist to determine the worth of such shares. ASC 718 guidelines do not dictate that you use any one model. Standardization began in the mid-2000s with FAS123R. ASC 718 Reporting Best Practices.