Category: Data Science

Author: Matt Mayo Editor Listen to this on-demand webinar and hear how WorldQuant Predictive derives insights from building models on sensitive data while maximizing value […] Read More

Author: Sharmistha Chatterjee Motivation There are five types of traditional time series models most commonly used in epidemic time series forecasting, which includes Autoregressive (AR), […] Read More

Author: Gregory PS Editor Free MIT Courses on Calculus: The Key to Understanding Deep Learning; How Much Math do you need in Data Science? My […] Read More

Author: Stephanie Glen Naming conventions are often quite different in statistics and data science, which causes quite a bit of confusion. Part of the problem […] Read More

Author: Gregory PS Editor In this ebook, we’re looking at data integration — the process of combining information from different sources — and why it’s […] Read More

Author: Matt Mayo Editor “I set myself the challenge of using the optimized inference engine, along with a few other advanced features, of a decision […] 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: /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 It is surprising to see the level of innumeracy in the population, even in college-educated professionals. People still have blind faith in […] Read More