Appsilon Data Science Blog

How to create and use technology to deliver business results.

About three weeks ago the Fashion-MNIST dataset of Zalando's article images, which is a great replacement of classical MNIST dataset, was released. In the following article we will try to build a strong classifier using H2O and R.

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The strides in ecommerce represent an entire paradigm shift in retail. Despite only making up around 10% of all retail purchases, ecommerce accounts for more than $2 trillion dollars in sales.

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Everyone knows that messaging apps are crucial in daily life. Simple chat implementation in shiny can be easy and fun. With shiny.collections you can do this in less than 100 lines of R code.

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Loading data from a very large dataframe directly impacts the app initialization time and in order to identify the best file reading method we've made a quick benchmark. Comparison between utils::read.csv, readr::read_csv, base::load, base::readRDS, feather::read_feather and data.table::fread.

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Appsilon Data Science Blog

How to create and use technology to deliver business results.

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