Flashcards for A4 Machine learning - IB
These interactive flashcards help IB Computer Science (First Exam 2027) students Standard Level (SL) and Higher Level (HL) quickly review and memorize the essential definitions, formulas, and terms needed for success in IB Exams. Each card focuses on A4 Machine learning and is aligned with the IB Computer Science (First Exam 2027) syllabus, ensuring focused revision on programming concepts, algorithms, and data structures. Students can test themselves anytime, anywhere, perfect for reinforcing tricky concepts, learning IB terminology, and committing formulas to memory. By using RevisionDojo's flashcards consistently, learners turn repetition into mastery and enter the exam with confidence.
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A4.3 Machine learning approaches (HL only)
10 subtopics
A4.3.1 Linear Regression in Predicting Continuous Outcomes (HL only)
15 flashcards
A4.3.2 Classification Techniques in Supervised Learning (HL only)
15 flashcards
A4.3.3 Role of Hyperparameter Tuning in Supervised Learning Algorithms (HL only)
15 flashcards
A4.3.4 Clustering Techniques in Unsupervised Learning (HL only)
15 flashcards
A4.3.5 Learning Techniques Using the Association Rule Used in Large Data Sets (HL only)
15 flashcards
A4.3.6 Agents Learning to Make Decisions (HL only)
15 flashcards
A4.3.7 Application of Genetic Algorithms (HL only)
15 flashcards
A4.3.8 Structure and Function of ANNs (HL only)
15 flashcards
A4.3.9 Design of CNNs (HL only)
15 flashcards
A4.3.10 Model Selection and Comparison in Machine Learning (HL only)
15 flashcards