Why Data Is Not The Next Oil
Marketing, at least in the IT sector, has been replaced by memes. Every so often a Gartner slide deck goes viral, and the next thing… Read More »Why Data Is Not The Next Oil
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Data Science
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.
Data Structures & Algorithms
This blog post talks about the concepts of data structures and algorithms and introduces the why of integrating them. A few topics in data engineering… Read More »Data Structures & Algorithms
Would Bayesian approaches improve COVID-19 forecasts?
Data Scientists worldwide are forecasting about COVID Mostly, they are doing excellent work. But still, most forecasts vary widely That’s not to say that they… Read More »Would Bayesian approaches improve COVID-19 forecasts?
Covid-19 Modeling: Impact of Missing Data and Ignoring Key Features
Many data scientists and epidemiologists have developed various models and predictions, mostly alarming ones. Here I discuss issues that make most of these analyses meaningless,… Read More »Covid-19 Modeling: Impact of Missing Data and Ignoring Key Features
Comparing Regression Lines with Hypothesis Tests
This article was written by Jim Frost. How do you compare regression lines statistically? Imagine you are studying the relationship between height and weight and… Read More »Comparing Regression Lines with Hypothesis Tests
How to Get Your First Data Science Job: Go Dog Sledding
If you plug “statistics interview questions” into a search engine, you’re going to get hundreds of questions and answers. And if your interview is looming… Read More »How to Get Your First Data Science Job: Go Dog Sledding
Technical Periods of COVID-19 Fatality Data and the Relevance of Asymptotic Baselines
While I was laid off due to the new Coronavirus, I created a computer application called Little Blue Pearl (LBP) – named after our planet.… Read More »Technical Periods of COVID-19 Fatality Data and the Relevance of Asymptotic Baselines
Augmented Analytics: Democratizing Insights and Empowering Business Users
Traditional data analytics has been revamped; this is the age of augmented analytics. Organizations are now making assured, confident decisions without relying on specialized data… Read More »Augmented Analytics: Democratizing Insights and Empowering Business Users
Top Ways in Which Big Data Has Fortified Geolocation Apps
The world is on the constant lookout for technologies that can help us further improve how we go about not only our daily lives but… Read More »Top Ways in Which Big Data Has Fortified Geolocation Apps
Nonlinear regression of COVID19 infected cases.
In 1927, W. O. Kermack y A. G. McKendrick described the first mathematical model for infectious diseases using a set of differential equations. This model… Read More »Nonlinear regression of COVID19 infected cases.