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.
As I discussed early last year, the data science field is a virtual hot-bed of terminology, a confluence of terms from computer science, statistics, mathematics, and… Read More »The 2020 Data Science Dictionary—Key Terms You Need to Know
Data science is all about extracting the information from the data gathered. As data has become one of the essential entities in today’s world, it drives… Read More »Data Visualization 101: 4 Tips To Convert Data To Information Quickly
by Robert Robison, Data Analyst, Elder Research In 2019, over 40 million Americans wagered money on March Madness brackets, according to the American Gaming Association.… Read More »How to Pick a Winning March Madness Bracket
Data science uses many different probability distributions, but some are used more than others. This one picture shows an overview of five probability distributions data… Read More »Different Probability Distributions in One Picture
Role of Augmented Analytics in Future !! Insight generation is changing (and That’s a Good Thing) Have you ever been in situation when you need… Read More »Augmented Analytics Engine
I live in Jacksonville, Florida, where the odds of a hurricane on any given day are “improbable“. But does that mean I shouldn’t stock up… Read More »Likely, unlikely, certain and impossible
Job interviews make everyone nervous. But this is what they are designed to do. It is the most common medium to assess a candidate’s presence… Read More »Top 19 Data Science Interview Questions for Beginners
Many traditional businesses hate to fail. They embrace concepts such as Fail Fast in public, but deep inside their hearts, they are scared to fail.… Read More »Visually Explained: What Companies Get Wrong About Failure?
The Game Changer series By Stefan Dimitrov Stoyanov, Business Analytics Intern at Boemska As you may have noticed from my first and second articles about SAS… Read More »Using SAS Viya to Analyze Love at First Sight
Data scientist remains to be one of the best jobs in 2020. According to McKinsey, the US will be facing a shortfall of 250,000 data… Read More »A Pivotal Year for Data Scientists- 2020
