ESCAPE Data Science School 2022

Session

Machine Learning

23 juin 2022, 14:00

Présidents de session

Machine Learning: Machine Learning

• Martino Sorbaro

Machine Learning

• Martino Sorbaro

Machine Learning: Machine Learning

• Michaël Dell'aiera

Machine Learning: Deep Learning

• Mikaël Jacquemont

Machine Learning: Deep Learning

• Mikaël Jacquemont

133. Introduction to Deep learning

Deep learning is leading the artificial intelligence revolution allowed by the world of data we are living in. It is a powerful method that automatically learns to address tasks from the data, with minimal preprocessing.
This “Introduction to deep learning” lecture aims to give an insight on the fundamentals of deep learning. From the artificial neuron to famous deep architectures via the...

134. Introduction to Deep learning

Deep learning is leading the artificial intelligence revolution allowed by the world of data we are living in. It is a powerful method that automatically learns to address tasks from the data, with minimal preprocessing.
This “Introduction to deep learning” lecture aims to give an insight on the fundamentals of deep learning. From the artificial neuron to famous deep architectures via the...

140. Machine Learning

Claudia Beleites, Martino Sorbaro

In this class, we will give an introduction to machine learning algorithms, in a data-oriented and coding-oriented way. We will explain what it means for an algorithm to learn, and the main categories of ML problems. We will then cover, with code examples, how to approach a dataset for analysis. In particular we will take a closer look at: automated clustering of data points; supervised...

142. Machine Learning

Martino Sorbaro

In this class, we will give an introduction to machine learning algorithms, in a data-oriented and coding-oriented way. We will explain what it means for an algorithm to learn, and the main categories of ML problems. We will then cover, with code examples, how to approach a dataset for analysis. In particular we will take a closer look at: automated clustering of data points; supervised...

141. Machine Learning

Martino Sorbaro

In this class, we will give an introduction to machine learning algorithms, in a data-oriented and coding-oriented way. We will explain what it means for an algorithm to learn, and the main categories of ML problems. We will then cover, with code examples, how to approach a dataset for analysis. In particular we will take a closer look at: automated clustering of data points; supervised...