This unit introduces unsupervised learning algorithms, such as clustering and dimensionality reduction, which identify patterns and structures in unlabeled data. Students will gain an understanding of how these algorithms work and how they can be applied to real-world problems. Üben mit sofortiger Rückmeldung, kostenlos und ohne Anmeldung.

Weitere Themen

• Definition and History of AI
• Types of AI
• Applications of AI
• Supervised Learning
• Reinforcement Learning
• Neural Networks
• Convolutional Neural Networks (CNNs)
• Recurrent Neural Networks (RNNs)