IA & Data

Machine Learning – Advanced Level

2 jour(s) • 14h

Description

This training aims to deepen knowledge in machine learning by focusing on the implementation of advanced learning algorithms and their application to datasets. Participants will learn to implement regression models, gradient methods for complex model learning, and handle partially observed time series.

Learning Objectives

Implement advanced machine learning algorithms
Apply regression models to datasets
Understand and use gradient methods for learning complex models
Process partially observed time series using advanced techniques
Analyze case studies to solve real-world machine learning problems

Target Audience

This training is aimed at engineers and technicians with basic knowledge in statistics or machine learning, as well as an understanding of probability and statistics concepts.

Prerequisites

Participants should have a foundational understanding of statistics or machine learning, including probability and statistical concepts. Prior experience with regression models is beneficial.