For several years, MongoDB has established itself as a standard among NoSQL databases. Its ability to support a large volume of data while offering maximum flexibility on data schemas makes it a database highly appreciated by developers.
One of the trickiest obstacles in machine learning is overfitting. A Machine Learning model must be able to generalize, that is, it must be able to take new observations and predict with some accuracy the associated target variable.
Voice assistants Alexa, Google Home and Siri are all based on automatic language processing technologies. Objective: to have the ability to understand, process and generate voice messages.
The random forest is a machine learning algorithm designed to obtain a reliable prediction thanks to a system of random subspaces.
Inference is a logical operation based on induction. Inference in machine learning and deep learning aims to make efficient predictions from a trained learning model.
Abbreviation of machine learning operations, the MLOps aims to design learning models adapted to their deployment in production, then to maintain them throughout their life cycle.