Machine learning

Machine learning

This introductory workshop is designed to provide you with a comprehensive understanding of the most important concepts, techniques, and algorithms that form the basis of modern machine learning.

What will you learn?

- Explore basic topics such as classification and linear regression, through to advanced concepts such as boosting, support vector machines, hidden Markov models, and Bayesian networks.

- Gain a clear understanding of how machine learning works and the statistical principles that underpin it.

- Learn the steps needed to train systems to improve their performance on tasks without direct programming, including:

Data collection and preparation

Choosing the right model or algorithm for training

Evaluating models and adjusting their parameters to optimize performance by adjusting parameters

Making predictions and deriving insights

- Recognize the different types of machine learning, including guided, unsupervised, semi-guided, and reinforcement learning.

Why choose this workshop?

Whether you aspire to become a data scientist, a professional looking to upgrade your skills, or just interested in the field, this workshop gives you the basic knowledge and intuition needed to apply machine learning techniques effectively.