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.
There are a few key differences between the Binomial, Poisson and Hypergeometric Distributions. These distributions are used in data science anywhere there are dichotomous variables (like yes/no, pass/fail). This… Read More »Difference between Binomial, Poisson and Hypergeometric Distribution in One Picture
One of the best-known books on statistics is now free Larry Wasserman’s All of Statistics is free to download from Springer I like this book… Read More »Free book on Statistics: Larry Wasserman’s All of Statistics
Data mining includes statistics and elements of statistical analysis. Some people describe the two as interconnected, others as them being on a continuum. This one picture shows… Read More »Data Mining vs Statistics in One Picture
Divide-and-Conquer Algorithm Divide-and-conquer algorithms are made up of three steps: divide, conquer, and combine. In the divide stage, we divide the data into smaller, more manageable fragments. In… Read More »Divide and Conquer Algorithm
Marketing, at least in the IT sector, has been replaced by memes.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
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
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?
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
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
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
