In this interview to La Tribune (Parole d’Experts), Mr. Gazikian talks about data iceberg, differences between Small Data and Big Data, machine learning and why TADA is different from other predictive modeling platforms. Start using TADA now or learn more about our predictive modeling software for Small Data.
What is the next phase of your data strategy? In recent years, data strategy has been focused towards analysis of huge data sets in domains where data are easy to collect. On the other hand, there are domains where generating each data point is very time consuming or expensive, as a result, they deal with […]
Even though AutoML is not a very uncommon name these days, there is no universally agreed definition to it. Basically, Automated Machine Learning is focused on automating repetitive tasks of the machine learning process. Definitely, machine learning is an automated process in itself, but the preparation for the machine learning process requires a data expert […]
Does Data Analytics Matter? In these early days of data capture and analysis, “data analytics” can mean a huge number of things, ranging from simple presentation graphs to sophisticated prediction apparatus. From a practical sense, “data analytics” perhaps is best defined as “the ability to derive ROI from information”. How to quantify ROI from information? […]
Table of Contents Introduction and Forward The Purpose of Data Pre-Processing Human Interpretation Algorithmic Imposed Constraints/Limitations Considerations when Employing Transformative Pre-Processing Imparting attributes of sample composition upon individual records Additional considerations Assessment of predictive models based on transformed data Considerations with respect to MyDataModels ZGP engine Introduction and Forward This document will describe a number […]