Teacher Resources (new)
A 4.1.2 Describe the hardware requirements for various scenarios where machine learning is deployed.
A4.1.2 outlines machine learning hardware needs, considering processing, storage, and scalability. It covers configurations from standard laptops to advanced infrastructure like GPUs, ASICs, FPGAs, TPUs,...
Teacher Resources (new)
A 4.1.1 Describe the types of machine learning
A4.1.1 details machine learning types: Deep Learning (DL), Reinforcement Learning (RL), Supervised Learning, Transfer Learning (TL), and Unsupervised Learning (UL). It covers their unique characteristics...
Teacher Resources (new)
Topic A4 Assessment Markscheme
Mark Scheme Total Marks: 40 marks (a) TechInnovate is developing a new project that will involve the application of various types of machine learning algorithms. (i) Describe two distinct types of machine...
Activities
A4 Machine Learning
This topic focuses on the fundamentals of machine learning, its various types, hardware requirements, and significant ethical considerations, aiming to ensure models produce accurate results ethically....
eBook
A4.3 Machine learning approaches (HL only) eBook
This subtopic covers predicting continuous outcomes (linear regression) and discrete (supervised classification: K-NN, decision trees, F1 score, tuning). It includes unsupervised clustering & association...
eBook
A4.2 Data preprocessing (HL Only) eBook
This subtopic covers the significance of data cleaning, emphasising its impact on model performance through techniques like handling outliers, duplicates, and missing data, plus normalisation and standardisation....
eBook
A4.4 Ethical considerations eBook
This subtopic explores key ethical issues in machine learning, including accountability, algorithmic fairness, bias, consent, privacy, security, societal impact, and transparency. It emphasises continually...
eBook
A4.1 Machine learning fundamentals eBook
This subtopic covers the types of machine learning (Deep, Reinforcement, Supervised, Transfer, Unsupervised Learning), their real-world applications (e.g., medical imaging, robotics, sentiment analysis),...
Teachers start here
Course Planning
This page details the IB DP Computer Science course, emphasising computational thinking, real-world applications, and ethical considerations. It covers syllabus themes, assessment (external/internal,...
Teacher Resources (new)
Topic A4 Practical Project
This section provides a complete set of resources for the 3-day "Course Recommender" mini-project. This guide provides instructions for setting up, running, and supporting students through this more advanced...