This course explores the main techniques of machine learning, focusing on real use cases. The main algorithmic categories and methods for feature selection and model validation are introduced
Macro Topics
Supervised learning
Unupervised learning
Neural networks and deep learning fundamentals
Trainee’s Profile
Manager/professionals who possess basic programming and statistical knowledge and wish to extract value from their data through machine learning models
Junior Data Analyst
Junior Data Scientist
IT Analyst
Pre-Requirements
Statistics
Data science fundamentals
Python language
Objectives
Knowledge of terminology specific to Machine Learning and the peculiarities of various approaches
Development and testing of classification and/or predictive models
Choice of models and algorithms based on the type of data considered
More info
English language available upon request. The subscription must be carried out within the fifth working day preceding the course starting date.
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