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Item 294 of 426 · Year 12: Software Automation, 1 of 35
Machine learning (ML)
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Definition
A branch of AI where a program learns patterns from data to make predictions or decisions without being explicitly programmed with fixed rules.
Example: A spam filter learns from labelled emails.
Found in: syllabus, course specifications, 2025 HSC marking guidelines, sample exam and familiarisation guidelines, school notes.
Algorithms that learn patterns from data.
Where you'll use it in the test
Syllabus area: Y12 Software Automation.
Question types it can appear in
- Multiple choice: Pick the option that matches the definition or example.
- Short answer: Define, outline or explain it and tie it to the scenario.
- Extended response: Use it as a supporting point linked to the stimulus.
- Fill in the blanks: Choose this term to complete a statement or table.
Where it has appeared in the paper
Software Automation (Part B, C). Part letters follow each paper’s own layout.
Related past questions
- Sample exam Q15 (3 marks): Machine learning in data analysis Software Automation (Part B) · 3 marks
- Familiarisation Q14 (8 marks): AI and ML in society; privacy Software Automation (Part C) · 8 marks
How to use it
A model sentence
“A branch of AI where a program learns patterns from data to make predictions or decisions without being explicitly programmed with fixed rules.” Then apply it: A spam filter learns from labelled emails.
In a short answer, give the definition in your own words first, then tie it to the situation in the question. Do not copy the example above unless it fits the scenario.
Command words used with it
- Describe: Provide characteristics and features. (Sample exam Q15 (3 marks): Machine learning in data analysis)
Official worked answer
Sample exam Q15 (3 marks): Machine learning in data analysis (3 marks): official criteria and sample answer
Criteria
3: Describes how ML algorithms can be used in data analysis. 2: Outlines some features of ML algorithms relevant to data analysis. 1: Some relevant information.
Sample answer
Machine learning algorithms can be trained with a subset of the data to automatically identify patterns and trends within large datasets. The algorithms can handle complex relationships and nonlinearities present in the data allowing for efficient and comprehensive analysis. Machine learning can also be used for predictions and forecasting. These models can learn from new data over time, continuously improving their analysis and predictive accuracy and performance.
Go deeper
- Flashcard: Machine learning (ML) in Software Automation (Year 12) · study that set
- Memorise: AI v ML; ML supporting automation (DevOps, RPA, BPA)
- Key terms bank entry: Machine learning
- Notes: Investigate how machine learning (ML) supports automation through the use of DevOps,… (Software Automation (Year 12))
- Master answer: sample-q25 (8 marks, extended response (discuss, max 300 words, slideshow stimulus)) (Master model answers: Software Automation)
- Notes: AI v ML; ML supporting automation (DevOps, RPA, BPA) (Software Automation (Year 12))
- Full term page: every question, note and marking comment for Machine learning (ML)
Check yourself
Explain “Machine learning (ML)” in one sentence, give an example, and name a question type that could test it.
Reveal the answer
A branch of AI where a program learns patterns from data to make predictions or decisions without being explicitly programmed with fixed rules.
Example: A spam filter learns from labelled emails.
Could be tested as: Multiple choice, Short answer, Extended response, Fill in the blanks.
Quick multiple choice
Which statement best distinguishes machine learning (ML) from artificial intelligence (AI)?
- AI is a subset of ML
- ML is a subset of AI in which systems learn patterns from data rather than being explicitly programmed for every rule
- They are the same thing
- ML only applies to robots
Show the answer
B
AI is the broad aim of machines performing tasks that need human-like intelligence; ML is one approach to it. Neural networks are an ML technique.
Source: original (written for this study pack; not a NESA question). Open it in the multiple-choice bank.