Category: Data Science

Author: mtdearing Increasing accuracy in your models is often obtained through the first steps of data transformations. This guide explains the difference between the key […] Read More

Author: Ramesh For my current project, I was reaching about how to leverage the transfer learning techniques to improve model accuracy. In this blog, I […] Read More

Author: Matt Mayo Editor Also: Math for Programmers!; If #Programming languages had honest slogans #humor; 5 Papers on CNNs Every Data Scientist Should Read; Why […] Read More

Author: William Vorhies Summary:  COVID-19 and the changes it creates in the business environment for the next 12 to 24 months means our current AI […] Read More

Author: Matt Mayo Editor Livestream Deep Learning World Munich 2020 from the comfort and safety of your home on 11-12 May 2020. Go to Source

Author: ajit jaokar Data Scientists worldwide are forecasting about COVID Mostly, they are doing excellent work. But still, most forecasts vary widely That’s not to […] Read More

Author: /u/datascience-bot Welcome to this week’s entering & transitioning thread! This thread is for any questions about getting started, studying, or transitioning into the data […] Read More

Author: Vincent Granville Monday newsletter published by Data Science Central. Previous editions can be found here. The contribution flagged with a + is our selection for […] Read More

Author: Stephanie Glen If you plug “statistics interview questions” into a search engine, you’re going to get hundreds of questions and answers. And if your […] Read More

Author: mtdearing Many AI models rely on historical data to make predictions on future behavior. So, what happens when consumer behavior across the planet makes […] Read More