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.
Introduction Does your business struggle to understand the data in a better way or to predict future trends? Then youre not the only one in… Read More »ARIMA Model (Time Series Forecasting) in a Nutshell
When it comes to the new world of analytics, the augmented analytics approach allows business users with no data science background to readily access and… Read More »The Important Components of Augmented Analytics
Here is a great too for your AI research I feel like a kid in a candy shop! If you are like me, and want… Read More »A must have tool to analyse latest AI research papers fast
A debate rages on page one of Hacker News about the merits of the world’s most downloaded time-series library. Facebook’s Prophet package aims to provide a simple, automated approach… Read More »Is Facebook’s “Prophet” the Time-Series Messiah, or Just a Very Naughty Boy?
Whenever we begin dealing with machine learning, we often turn to the simpler classification models. In fact, people outside of this sphere have mostly seen… Read More »Applying Regression-based Machine Learning to Web Scraping
Power BI was chosen by Gartner as the best BI tool in the world. This has been happening for the twelfth consecutive year, which reinforces… Read More »Why was Power BI considered the best BI tool?
Big data analytics are used in the quite classy analytic techniques on tremendously big varied data groups that include organized, and unorganized data from many… Read More »De-constructing Use Cases for Big Data Solutions
Epidemics remain a major public health issue. Data science steps in when traditional modeling methods fail. Outbreak analytics can handle the complex data involved in… Read More »Outbreak Analytics at the Forefront of Data Science
Among the many decisions youll have to make when building a predictive model is whether your business problem is either a classification or an approximation… Read More »Approximation or Classification – which one to choose?
