This rubric covers the use of statistical tools working on large datasets to create models and derive inferences, as well as coverage of the field in its entirety. This differs from machine learning primarily in that the latter focuses on functional gradient analysis or neural networks (kernels) to derive models.
This article was written by Suresh Kondamudi. Dealing with large datasets is often daunting. With limited computing resources, particularly memory, it can be challenging to… Read More »How to remove duplicates in large datasets
Preface : Violence is a social phenomenon and has a central role to play in assessing societal developments. Does the trend of subcategories of crime… Read More »Can crime be predicted ? Does crime follow a natural rate?
We will talk about two chief technologies that deal with data namely Business Analytics and Data Science. The latter is specific to customer choice, geographical… Read More »Business Analytics VS Data Science
Most of the big organizations are struggling with AI transformation. Data science projects are either taking too long to complete or would never get into… Read More »Building Up Stable Data Science Teams
by Mike Thurber, Principal Scientist, Elder Research Three weeks ago, our Brief Is the Spread of the COVID-19 Coronavirus Being Slowed looked at the impact… Read More »COVID-19 Social Distancing Has Mitigated 2020 Flu Season
by Mike Thurber, Principal Scientist, Elder Research A key issue for COVID-19 response policies moving forward is the asymptomatic rate – people who have the… Read More »COVID-19 Asymptomatic Rates and Implications
by Peter Bruce, President & Founder, Statistics.com Nearly everyone is now familiar with the IHME Covid-19 forecasts (also called the “Murray” model after the lead… Read More »Covid-19: Epidemiological Models vs. Statistical Models
by Mike Thurber, Principal Scientist, Elder Research The COVID-19 pandemic has created a need for clear and actionable analytics like never before. The world can’t… Read More »Is the Spread of the COVID-19 Coronavirus Being Slowed?
Process mining is changing the way enterprises operate and manage their processes. It tells the process ‘as-is’ and ensures that enterprises and process owners have… Read More »Evolution Of Process Mining: A Look At The History
Randomised algorithms are built on statistical features played by random numbers. Quicksort is a good example to illustrate this algorithm. For instance, in a class of taller… Read More »Randomised algorithms
