Remove 7 4 requirements-risk-management
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Our quest for robust time series forecasting at scale

The Unofficial Google Data Science Blog

its growth profile) and automatic in the sense of not requiring human intervention before or after running the forecast. Facebook in a recent blog post unveiled Prophet , which is also a regression-based forecasting tool. Such a model risks conflating important aspects, notably the growth trend, with other less critical aspects.

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Themes and Conferences per Pacoid, Episode 6

Domino Data Lab

People who attended JupyterCon 2017–2018 can attest, an “industry poster session” includes an open bar, catered hors d’oeuvres, lots of mingling … to paraphrase feedback from JupyterCon, “As a tech person, would I get up extra early to meet strangers for coffee at 8:00 am? The ability to measure results (risk-reducing evidence).

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Top 10 Analytics And Business Intelligence Trends For 2020

datapine

2020 will be the year of data quality management and data discovery: clean and secure data combined with a simple and powerful presentation. 1) Data Quality Management (DQM). A survey conducted by the Business Application Research Center stated the data quality management as the most important trend in 2020.