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Explore Machine Learning through data, algorithms and intelligent systems. This Young Explorer pathway uses clear, age-appropriate activities to analyse 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 Junior Explorer pathway uses structured learning and authentic scientific tasks to model 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 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 Advanced Secondary pathway uses structured learning and authentic scientific tasks to interpret 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 Pre-University pathway uses structured learning and authentic scientific tasks to design 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 Undergraduate Foundation pathway uses structured learning and authentic scientific tasks to compare 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 Undergraduate Advanced pathway uses structured learning and authentic scientific tasks to evaluate 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 Postgraduate pathway uses structured learning and authentic scientific tasks to investigate 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 Professional Development pathway uses structured learning and authentic scientific tasks to analyse 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 Research & Specialist pathway uses specialist evidence and advanced scientific practice to model modelling, evaluation, responsible AI and real-world datasets, with a particular emphasis on laboratory & practical skills.
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