University · Artificial Intelligence

Machine Learning Foundations

Core algorithms, theory, and practice of supervised and unsupervised machine learning

7 Lektionen

6 Karteikarten-Decks

6 Quizze

Lehrplan

Machine Learning Foundations

Supervised Learning: Linear Models and Regularization1 Decks1 Quiz Tree-Based Models, Ensembles, and Gradient Boosting1 Decks1 Quiz Unsupervised Learning and Dimensionality Reduction1 Decks1 Quiz

Machine Learning Foundations

Support Vector Machines and Kernel Methods Neural Architecture Search and AutoML Model Evaluation: Metrics, Cross-Validation, and the Bias–Variance Tradeoff Feature Engineering, Data Preprocessing, and Pipeline Design

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