A4.1.1 Types of Machine Learning and Their Applications in the Real World

17 flashcards

A4.1.2 Hardware Requirements for Various Scenarios Where Machine Learning is Deployed

17 flashcards

A4.2.1 Significance of Data Cleaning (HL only)

19 flashcards

A4.2.2 Role of Feature Selection (HL only)

19 flashcards

A4.2.3 Importance of Dimensionality Reduction (HL only)

17 flashcards

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

17 flashcards

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

16 flashcards

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

21 flashcards

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

20 flashcards

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

21 flashcards

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

17 flashcards

A4.3.7 Application of Genetic Algorithms (HL only)

18 flashcards

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

20 flashcards

A4.3.9 Design of CNNs (HL only)

24 flashcards

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

18 flashcards

A4.4.1 Ethical Implications of Machine Learning in Real-World Scenarios

18 flashcards

A4.4.2 Ethical Aspects of the Increasing Integration of Computer Technologies into Daily Life

16 flashcards