Artificial intelligence

Presentation & objectives

In the previous session about advanced algorithmics, you have studied algorithms that can be defined to efficiently solve a wide range of problems, given that those problems can be formalized (e.g., represented as a problem on a graph).

In this session, we will give you a general introduction about a successful, alternative way to solve problems, using machine learning. Contrary to previously seen approaches, we will rely on data to solve problems, not only on programming instructions.

The goal of this session is to give a very broad overview of machine learning, which is the dominant paradigm in the broader term “artificial intelligence”. We will introduce what we mean by machine learning, and will focus on introducing supervised and unsupervised learning.

Before the class

Technical requirements

To be able to start working on the activity, you should meet the following requirements:

• Please bring your own computer.
• Make sure to have a functional network connection.

During the class

Evaluation

At the very beginning of this session, we will evaluate your understanding of algorithmics from session 1, session 2, session 3 and session 4. You will be given 30min to work on a MCQ, on Moodle:

• Evaluated MCQ.

Knowledge acquisition

To be able to start the practical activity efficiently, we will introduce some needed concepts at the beginning of the class. To save you some time, we will present you a few slides, that you can find hereafter:

• Slides of the session.

These slides only cover the main elements of the course, and many more details are given in the associated articles, that you should study in details:

• What is artificial intelligence?.
• Applications of machine learning.
• Standard algorithms for machine learning.
• A broad introduction to deep learning.

You can verify your understanding of these articles here:

• Self-assessment quiz.

Practical activity

The rest of the class is dedicated to a practical activity. When ready, click on the link below to start:

• Practical activity.

After the class

Complete the current session

Before the next session, you should:

• Review the contents of the articles above.
• Complete the non-optional parts of the practical activity.

Final evaluation

TODO