Machine learning defines the development of algorithms that provide predictions based on the analysis of complex data patterns. Boubaker EL HADJ AMOR discusses various methods of Machine learning in this Presentation.

1. Why do we need Machine
learning?
Boubaker EL HADJ AMOR

2. Machine Learning
A machine learning algorithm is a method of analyzing
complex data patterns and predicting outcomes. Analyzing the
data provided by machine learning algorithms can yield
insights that can be used to come up with predictions.

3. Boubaker EL HADJ AMOR discusses various methods
of Machine learning:
The Supervision
of Learning
Unsupervised
Learning
Reinforcement
of Machine
Learning
Learning Semi-
Supervised
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4. Supervised machine learning identifies behavioral
patterns and makes forecasts based on historical data.
Datasets are used in this system. The inputs and outputs
of a system are controlled by parameters.
This method finds hidden structures in unlabeled data so that
functions can be correctly interpreted. To determine the
hidden structures in unlabeled data, it uses clustering or
dimension reduction techniques. Grouping the data based on
the same metric allows the clustering technique to be used.
Supervision of Learning
Unsupervised Learning

5. The teaching of autonomous driving using
reinforcement learning algorithms in simulated
environments, such as Q-learning, has been
developed. Moreover, reinforcement learning utilizes
the principle of iterative improvement as a method
to improve learning.
By combining labeled and unlabeled data, semi-
supervised machine learning improves learning
accuracy. In cases where tagging data proves
prohibitively expensive, semi-supervised learning may
be the best option.
Reinforcement of Machine Learning
Learning Semi-Supervised

6. Lecturer and of vice-president
UOIF.
Boubaker EL HADJ AMOR
Boubaker EL HADJ AMOR conducts research
in the fields of robotics and image processing.
He resides in Poitiers, France. He teaches
Signals and Systems and Image Processing at
the Institute Higher of Aeronautics and Space
(ISAE-ENSMA) in Poitiers.
If you want to learn more about Machine
Learning, Boubaker's expertise in the field can
provide you with the information you require.

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