What you will learn

• The difference between Machine Learning, Data Science and Artificial Intelligence;
• Knowledge of the major families of Machine Learning
• How to choose the type of model to use according to the problem
• Knowledge of the limits of Machine Learning

Summary

This course aims to allow participants to master the basics of machine learning, as well as knowledge of all the techniques for creating a predictive model from data.

The description

The course '' Machine Learning – The basics '' aims to provide a complete and specific introduction to machine learning and data science, covering both conceptual and practical aspects.

Key Benefits

In concrete terms, following this course, participants will be able to:

• Understand the difference between Machine Learning, Data Science and Artificial Intelligence;
• Know the main families of Machine Learning
• Choose the type of model to use according to the problem
• Know the limits of Machine Learning

Who Should Attend 

This course is for anyone curious to discover the world of Machine Learning, this may concern (without being limited to) Pre-doctoral students in Machine Learning or data science, Data Scientists or Analyst.

Participants must have:

• Concept of linear algebra
• Python programming basics
• B2/upper intermediate skill level in english