Ever wonder what was evolutionary algorithms and how they can help in classification? We explain you everything on this article!

Artificial intelligence can be a difficult notion. We create this article to make it easy and help you understand what is AI.

Understand easily what is Machine Learning and how does its algorithms works with this article. Understanding ML never been that easy!

There are many examples in daily life where professionnals have small data sets and no known data distribution. Does that mean that they cannot use Machine Learning?

Human beings once had a queue like dogs and cats. This trait has disappeared over time. Nowadays, it survives as a slightly more prominent bone at the bottom of the spine for some of us.

MyDataModels designed TADA to make the uses of artificial intelligence available to anyone.

Ever wondered whether you could get an exhaustive bibliography automatically? Mikhail Kamalov found innovative means to achieve this. Read about his findings here.

We explained here the various metrics used in binary classification, namely: the confusion matrix, Accuracy, Recall, Precision, MCC, F1 score. All these metrics apply to multiclass classification.

1.13 million deaths due to COVID-19 and still counting. Machine Learning provides surprising insights into death risk factors in COVID-19 patients. Read what our data scientists have found out in this article.

Are you using Machine Learning to predict continuous values? A house price? The adult height of a child? The petrol price? How do you know the algorithm used performs well? Does it provide a better result than a completely random number? Find out in our article about metrics for regression

Machine learning algorithms can be difficult to understand. Mastering the metrics and results of your models is the best way to measure their performances.

We hear a lot about intubation lately when discussing patients with COVID-19-related respiratory problems. Yet the procedure isn’t particular to COVID. Some people are too vulnerable to breathe autonomously. For instance, they have chronic obstructive pulmonary disease (COPD) or pneumonia.

While the coronavirus disease travels the world, it becomes essential to find new means to anticipate which patients are likely to enter ICU.

Covid-19 vastly remains a terra incognita. Data is therefore essential for insight and new information about coronavirus predictions and infections.

Among the many lingering issues surrounding the spread of coronavirus and its long-term development is “How to make a correct diagnosis of the disease?”.

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.

Read this article and go through the power of Predictive Machine Learning and the impact of the small but powerful data on it.

The fact that we are surrounded by data lead us to think that it can be used in every field. It’s true, but what is small data and how can I use it for my company?

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

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

AutoML focuses mainly on automating repetitive tasks of the Machine Learning process. But what exactly is Automated Machine Learning?