A4.3 Machine learning approaches - International Baccalaureate (IB) Computer Science

Master A4.3 Machine learning approaches with International Baccalaureate (IB) Computer Science exam-style questions, flashcards, lessons, and notes. All resources are aligned with the International Baccalaureate (IB) syllabus and designed for both SL and HL students.

Subtopics

A4.3.1 Linear Regression in Predicting Continuous Outcomes (HL only)

A4.3.2 Classification Techniques in Supervised Learning (HL only)

A4.3.3 Role of Hyperparameter Tuning in Supervised Learning Algorithms (HL only)

A4.3.4 Clustering Techniques in Unsupervised Learning (HL only)

A4.3.5 Learning Techniques Using the Association Rule Used in Large Data Sets (HL only)

A4.3.6 Agents Learning to Make Decisions (HL only)

A4.3.7 Application of Genetic Algorithms (HL only)

A4.3.8 Structure and Function of ANNs (HL only)

A4.3.9 Design of CNNs (HL only)

A4.3.10 Model Selection and Comparison in Machine Learning (HL only)

A4.3 Machine learning approaches (HL only)

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