The good news for non-developers is that it’s possible to build a predictive model without machine learning or coding skills. What is a predictive model? Predictive modeling, also referred to as predictive analytics, is the process that uses a historical dataset to build a mathematical solution with the purpose to predict outcomes from new data. […]
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 […]
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 […]
How to work with small datasets and what is the difference between Big Data and Small Data. What is Small Data? Small Data is data that is most useful, easily accessible, and beneficial to a particular department of an organization, it is rarely a centralized data owned solely by the IT department. Small Data and […]
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 […]