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Artificial Intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think, learn, and make decisions.
These machines can perform tasks that typically require human cognition – like recognising speech, making decisions, solving problems, and understanding language.
This foundational step involves cleaning and transforming raw data to ensure accuracy and consistency, which is crucial for reliable model outcomes. Techniques include handling missing data, dealing with outliers, and creating appropriate visualisations like histograms and scatter plots.
Brainstorming and ideation (e.g., generating teaching examples, MCQs)
Code generation and annotation (e.g., reusable wrappers in R)
Data wrangling and diagnostics (e.g., matrix-style outputs, effect size summaries)
Visualisation and storytelling (e.g., Power BI dashboards with AI insights)
Working with AI isn’t just about automation – it’s about augmentation. Let’s build smarter, fairer, and more human-centred systems together.
Alexa makes life easier … and adds security and fun:
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