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Our quest for robust time series forecasting at scale

The Unofficial Google Data Science Blog

by ERIC TASSONE, FARZAN ROHANI We were part of a team of data scientists in Search Infrastructure at Google that took on the task of developing robust and automatic large-scale time series forecasting for our organization. So it should come as no surprise that Google has compiled and forecast time series for a long time.

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Accountancy Today: A new reality: coronavirus’s impact on financial planning

Jet Global

Some companies, such as drinks brand Diageo, have declared their profit warnings, forecasting between £140-£200m profit losses this year. Elsewhere, it was the worst weekly decline for stocks since the 2008 financial crisis. Planning differently: rolling forecasts and the role of tech. Integrated approach to planning.

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Benchmarking Performance: Your Options, Dos, Don'ts and To-Die-Fors!

Occam's Razor

But it is often a million times simpler to create your first set of benchmarks using your own data/performance. If you've read my first book Web Analytics: An Hour A Day, you know that I've advocated this strategy since 2008! There are four reasons, again from Web Analytics: An Hour A Day, from 2008 (!):

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ML internals: Synthetic Minority Oversampling (SMOTE) Technique

Domino Data Lab

Further, imbalanced data exacerbates problems arising from the curse of dimensionality often found in such biological data. Insufficient training data in the minority class — In domains where data collection is expensive, a dataset containing 10,000 examples is typically considered to be fairly large. Knowler, W.

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Top 10 IT & Technology Buzzwords You Won’t Be Able To Avoid In 2020

datapine

To explain this most essential of 2020 buzzwords: connected retail is the seamless bridge between physical and digital retail, creating a connected, cloud-based ecosystem for enhanced consumer experience and advanced data collection. Blockchain was invented in 2008 to serve as a ledger of the cryptocurrency bitcoin.