Category: Data Science

Author: Bill Schmarzo The Covid19 pandemic has given me a chance to catch up on some reading. One of the books I recently finished reading […] Read More

Author: Matt Mayo Editor The book Trustworthy Online Controlled Experiments: A Practical Guide to A/B Testing by Ron Kohavi (Microsoft, Airbnb), Diane Tang (Google) and […] Read More

Author: William Vorhies Summary:  Now that you have a little time for introspection, how about reviewing the performance of your chatbots.   Chances are this […] Read More

Author: mtdearing Learn how to develop a LSTM neural network with PyTorch on trading data to predict future prices by mimicking actual values of the […] 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: mtdearing How can you keep your focus and drive during a global crisis? Take on a 90-day learning challenge for data science and check […] Read More

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