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Explore Machine Learning through data, algorithms and intelligent systems. This Secondary Foundation pathway uses structured learning and authentic scientific tasks to model modelling, evaluation, responsible AI and real-world datasets, with a particular emphasis on foundations & core concepts.
Explore Machine Learning through data, algorithms and intelligent systems. This Secondary Foundation pathway uses structured learning and authentic scientific tasks to test modelling, evaluation, responsible AI and real-world datasets, with a particular emphasis on laboratory & practical skills.
Explore Machine Learning through data, algorithms and intelligent systems. This Secondary Foundation pathway uses structured learning and authentic scientific tasks to interpret modelling, evaluation, responsible AI and real-world datasets, with a particular emphasis on research methods & experimental design.
Explore Machine Learning through data, algorithms and intelligent systems. This Secondary Foundation pathway uses structured learning and authentic scientific tasks to design modelling, evaluation, responsible AI and real-world datasets, with a particular emphasis on data analysis & scientific computing.
Explore Machine Learning through data, algorithms and intelligent systems. This Secondary Foundation pathway uses structured learning and authentic scientific tasks to compare modelling, evaluation, responsible AI and real-world datasets, with a particular emphasis on applied case studies & problem solving.
Explore Machine Learning through data, algorithms and intelligent systems. This Secondary Foundation pathway uses structured learning and authentic scientific tasks to evaluate modelling, evaluation, responsible AI and real-world datasets, with a particular emphasis on technology, innovation & future applications.
Explore Machine Learning through data, algorithms and intelligent systems. This Secondary Foundation pathway uses structured learning and authentic scientific tasks to investigate modelling, evaluation, responsible AI and real-world datasets, with a particular emphasis on ethics, safety & responsible practice.
Explore Machine Learning through data, algorithms and intelligent systems. This Secondary Foundation pathway uses structured learning and authentic scientific tasks to analyse modelling, evaluation, responsible AI and real-world datasets, with a particular emphasis on capstone, project & portfolio.
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