OpenCV: everything you need to know about Computer Vision’s leading tool
OpenCV is an open-source library considered the standard tool for Computer Vision and Image Processing. Discover everything you need to know about this essential tool
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OpenCV is an open-source library considered the standard tool for Computer Vision and Image Processing. Discover everything you need to know about this essential tool
Defining the right model is essential for making relevant predictions in Machine Learning. But poorly fitting training data can affect the performance of predictive analyses.
Optuna is an automated search tool for optimising the hyperparameters of your Machine Learning models. Using different search methods and their combination, this library helps
Google’s TensorFlow framework enables computer calculations to be distributed between multiple CPUs and GPUs. This parallelization is very useful for accelerating Machine Learning training, and
The word algorithm is now part of everyday language. But what does it really mean? Behind this simple word lies a whole world of unsupervised
Have you ever wished you could paint like Van Gogh? Reproduce Monet’s aesthetic in modern landscapes? In this article, we’ll introduce you to a technique
Today, data analysis is a key factor in business decision-making. This data needs to be pre-processed and analyzed using Artificial Intelligence (AI) and Machine Learning
In a previous article, we discussed the limits of artificial intelligence in comparison with the human brain. If initiative seemed decisive in this comparison, would
Do you know Spot? A robot deployed in Singapore’s green spaces to enforce social distancing. The news has given grist to the mill of alarmists
A framework is a collection of modules and packages used to develop software and help developers avoid having to deal with low-level details. The three
Welcome to the second part of this dossier dedicated to Vector Machine Support. In the previous article, we detailed the operation and main shortcomings of
Welcome to the first part of this mini-series dedicated to SVM. When we think of Machine Learning, we generally think of recent methods that are