Machine learning is a hot subject these days and there are a lot of new developments in the field of Artificial Intelligence. We interviewed Dr. Marc Schoenauer, the Research Director at INRIA and a board member of MyDataModels, to talk about the challenges facing machine learning and discuss the latest trends. Here’s the interview: MyDataModels: […]
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 […]
Artificial intelligence and machine learning became, in a few years, key technologies for professionals and organizations to master, to stay in the game and ahead of the competition. Organizations are starting to invest heavily in machine learning, and we already see highly positive results. What is a dataset in machine learning? In simple words, a […]
Throughout the year, we offer many opportunities to meet our team and discover MyDataModels technology in action. We regularly participate in events, conferences, and expositions. Below you can see the list of the events where you can meet representatives of MyDataModels. The AI & Big Data Expo Global, 25-26 April, London, UK MyDataModels participated at the leading […]
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.