This unit introduces unsupervised learning algorithms, including clustering (k-means, hierarchical clustering) and dimensionality reduction techniques (PCA, LDA). Students will gain an understanding of their applications and how they can be used to extract meaningful insights from unlabeled data. Üben mit sofortiger Rückmeldung, kostenlos und ohne Anmeldung.

Weitere Themen

• Definition and Overview of Machine Learning
• Introduction to Artificial Intelligence
• Relationship between Machine Learning and AI
• Supervised Learning Algorithms
• Reinforcement Learning Algorithms
• Introduction to Deep Learning
• Convolutional Neural Networks (CNNs)
• Recurrent Neural Networks (RNNs)