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Date: 3/24/2020 Time: 9:00 AM PDT Duration: 60 Minutes Summary A distributed network is key to providing storage at lower costs than other cloud providers. By equipping customers with fast, secure and fully distributed storage, users no longer need to manage infrastructure. This platform enables applications to store and share end-to-end encrypted data across a distributed network. Discover how a time series database is a key component to their service. In this latest Data Science Central webinar, John Gleeson and Ben Sirb will dive into: The definition of a cloud object storage network The advantages of using open source software in a modern tech stack How high-volume, real-time telemetry data is

[This article was first published on business-science.io, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don't. Machine learning is a powerful way to analyze Time Series. With innovations in the tidyverse modeling infrastructure (tidymodels), we now have a common set of packages to perform machine learning in R. These packages include parsnip, recipes, tune, and workflows. But what about Machine Learning with Time Series Data? The key is Feature Engineering. (Read the updated article

https://ift.tt/2X39MmrStudy shows 20m jobs will be lost worldwide by 2030 with every robot costing 1.6 manufacturing jobs British workers are being shut out of decisions over the rising use of robots in the UK economy, according to a report.According to the commission on workers and technology, run by the Fabian Society and the Community trade union, almost six in 10 employees across Britain in a poll said their employers did not give them a say on the use of new technologies. Continue reading

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