Approaches to Time Series Data with Weak Seasonality
In the previous article, we have tried to model the gold price in Turkey per gram. We will continue to do that to find the… Read More »Approaches to Time Series Data with Weak Seasonality
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.
In the previous article, we have tried to model the gold price in Turkey per gram. We will continue to do that to find the… Read More »Approaches to Time Series Data with Weak Seasonality
Data Points There are a number of different terms used for probability in statistics. Each has a distinct (and usually precise) meaning. This article examines… Read More »Odds vs Probability vs Chance
Most companies have big data but are unaware of how to use it. Firms have started realizing how important it is for them to start… Read More »8 Best Big Data Hadoop Analytics Tools in 2021
While there are several dozen different types of possible variables, all can be categorized into a few basic areas. This simple graphic shows you how… Read More »Types of Variables in Data Science in One Picture
Hello fellow Data Science-Centralists! I wrote a post on my LinkedIn about why you should NEVER run a Logistic Regression. (Unless you really have to).… Read More »Why you should NEVER run a Logistic Regression (unless you have to)
Data is the new oil that has been thrown around long enough to render it a cliché by this point. However, that doesn’t take away… Read More »Real Estate: How it is Impacted by Business Intelligence
At dinner with friends last Sunday, the topic of conversation fixated on — what else — the upcoming presidential election. That morning, a poll had… Read More »A quick demonstration of polling confidence interval calculations using simulation
Knowledge of the basic rules of probability is a must-have for any data scientist. But if you’re a visual learner like me, learning the algebraic representations… Read More »5 Rules of Probability in One Picture (Cat and Dog Edition)
My free book Bayesuvius now has 39 chapters. I had been postponing writing the chapters on Pearl causality until now, because I consider them to… Read More »No Causation without representation!
Plenty of new technologies have emerged. Some of them have quickly established themselves to virtually connect us as an integral part of, well, everything we… Read More »Big Data: How it is Reshaping Retail