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. Sometimes this is not the case, because the model is too simple…

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. What is Natural Language Processing (NLP)? Natural language processing (NLP), or automatic language processing (TALN), is a branch of artificial intelligence that focuses on giving machines the ability to…

AI is invading all industries. It offers interesting solutions and creates enormous business opportunities. This is what makes the turnover generated by AI today several tens of billions of dollars! 1. Building Customer Loyalty More Effectively Through scoring methods, AI allows you to assess the reliability of your customers. For example, you can calculate the probability…

The random forest is a machine learning algorithm designed to obtain a reliable prediction thanks to a system of random subspaces. What is the random forest algorithm? Used in machine learning, the random forest or random forest is a prediction algorithm created in 1995 by Ho, then formally proposed by scientists Adele Cutler and Leo Breiman…

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. What is machine learning inference? In machine learning (or automated learning), the inference phase refers to the execution of an AI model once it has been trained on a learning…

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. MLOps, what is it? The MLOps aims to design and maintain machine learning models that can be used in the field. Like DevOps for applications, it involves mastering…

TensorFlow is an open source deep learning platform created by Google. Equipped with a Python API, it offers a multitude of tools to train and optimize artificial neural networks. What is TensorFlow? A star tool for data scientists, TensorFlow is an open source deep learning library. Developed by Google, it was released at…

Open source is H2O.ai’s main differentiator. Available under the Apache 2.0 license, its offer revolves around a machine learning platform equipped with an auto ML engine. H2O.ai, what is it? H2O.ai is an open source machine learning platform. This is its main trademark. Published under the Apache 2.0 license, this platform, which has raised…

C3.ai Suite is an end-to-end machine learning platform. It comes with the C3.ai Ex Machina no-code development environment. What is C3.ai? Founded by Thom Siebel in 2009, C3.ai articulates its offer around a machine learning-oriented data science platform, called C3.ai Application Platform. …