
Convolutional Neural Network: Everything You Need to Know
In this section, we will focus on one of the most powerful algorithms in Deep Learning: Convolutional Neural Networks (CNNs). These are powerful programming models
In this section, we will focus on one of the most powerful algorithms in Deep Learning: Convolutional Neural Networks (CNNs). These are powerful programming models
Hierarchical Clustering Algorithm(AHC): Clustering is a specific discipline within Machine Learning with the goal of dividing your data into homogeneous groups with common characteristics. This
Data Mining, also known as data foraging, involves analyzing vast volumes of data to uncover trends and correlations. Discover everything you need to know about
How much can a Data Analyst earn, and how can you train to pursue this profession? The salary of a Data Analyst can vary depending
Learn AI: An artificial intelligence, or AI, is a program that seeks to mimic human intelligence through computational algorithms. Its creation enables computers to perform
Among the many computer attacks that exist and that attack IT systems, Data Poisoning is characterized by the falsification of training data for Machine Learning
Have you ever wondered how AI personal assistants like Siri or Cortana work? How your spell checker was able to detect syntax errors that you
Data leakage is a worrying phenomenon that can jeopardize your company’s security. Find out how to protect your sensitive data against data leakage and computer
Since the end of 2022 and the massive worldwide use of ChatGPT, artificial intelligence-based language models have been attracting increasing interest, both from the general
An epoch in Machine Learning refers to one complete pass of the training data set through the algorithm. Learn all you need to know about
Artificial Intelligence has been dealing with more than just IT topics for a long time now and can do more than just voice assistance. Even
U-NET is a neural network model dedicated to Computer Vision tasks and more particularly to Semantic Segmentation problems. Discover all you need to know: presentation,