Übersicht
Are you interested in machine learning, but not sure where to start? Join us for this session to learn the basic concepts and demystify the basics.
Lernziele
- What is Machine Learning?
- What is the machine learning pipeline, and what are its phases?
- What is the difference between supervised and unsupervised learning?
- What is reinforcement learning?
- What is deep learning?
Zielgruppe
This workshop is intended for:
- Developers
- Solution architects
- Data engineers
- Individuals, interested in building solutions with machine learning - no machine learning experience required!
Inhalte
- Using real-world examples, you’ll learn about important concepts, terminology, and the phases of a machine learning pipeline. Learn how you can unlock new insights and value for your business using machine learning:
- Module 1: Machine learning basics
- Classical programming vs. machine learning approach
- What is a model?
- Algorithm features, weights, and outputs
- Machine learning algorithm categories
- Supervised algorithms
- Unsupervised algorithms
- Reinforcement learning
- Module 2: What is deep learning?
- How does deep learning work?
- How deep learning is different
- Module 3: The Machine Learning Pipeline
- Business problem
- Data collection and integration
- Data processing and visualization
- Feature engineering
- Model training and tuning
- Model evaluation
- Model deployment
- Module 4: What are my next steps?
- Resources to continue learning
Termine
Bitte fragen Sie uns nach Terminen und Preisen.