Category: Data Science

Author: Matt Mayo Editor The MS in Analytics program at Northwestern invites you to an info session about project sponsorship, Aug 3 at 5 pm […] Read More

Author: Matt Mayo Editor Machine learning models degrade with time, and need to be regularly updated. In the article, we suggest how to approach retraining […] Read More

Author: Muhammad Touhidul Islam    Image Source: Statistical Aid Variance is one of the best measures of dispersion which measure the difference of all observation […] Read More

Author: Matt Mayo Editor Also: Data Scientists and ML Engineers Are Luxury Employees; Geometric foundations of Deep Learning; How Can You Distinguish Yourself from Hundreds […] Read More

Author: Aakrit Vaish Businesses now realize the need for a customer-centric approach to transforming their customer experience (CX). According to the Zendesk Customer Experience Trends […] 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 This is not a discussion as to whether the data is flawed or not, or whether we are comparing apples to oranges […] Read More

Author: Vinaksh As COVID-19 rampages across the globe it is altering everything in its wake. For example, we are spending on essentials and not on […] Read More

Author: Matt Mayo Editor In this post we discuss the concepts of bias and fairness in the Machine Learning world, and show how ML biases […] Read More

Author: Vinaksh Product complexity is on the rise. Manufacturers need to understand customer requirements, define, and design products, collaborate with global designers and suppliers, ensure […] Read More