Implementing machine learning projects

Learn how machine learning projects to create data products and AI systems are implemented.

• What is machine learning (ML) and how is it used to create AI systems?
• What is currently possible with ML and how can you harness it in your copmany/ department/ team
• How does ML work, what different types of ML are there and why is it so powerful?
• What tools are there to implement ML projects are there?
• How should a ML project be managed?
• What are hands-on tips from the trench when implementing a machine learning project?

• You and your team want to start implementing machine learning projects (or other data use cases), but have no previous experience
• Want to gain a solid understanding of the machine learning process, e.g. to manage such projects in the future

No previous knowledge required, though a quantiative background helps.

Both online and on-site (recommended).

3 days