IB Digital Society Topic 3.6B Types and Uses of Machine Learning Revision Notes (SL/HL)

IB Digital Society Topic 3.6B Types and Uses of Machine Learning Revision Notes (SL/HL) | RevisionDojo

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3.6B Types and Uses of Machine Learning

What machine learning is

Machine learning powers almost all of today's AI. The programmer does not write every rule. The system is shown large data, works out the patterns itself, and uses them to make predictions.
In traditional programming a human writes the rules and the computer applies them. Machine learning works differently. Give it thousands of emails already marked spam or not, and it works out the rules itself.
This suits tasks too messy to write rules for, like telling a cat from a dog in a photo. The catch is the data: a model is only as good, and only as unbiased, as what it learned from.

Supervised learning

Supervised learning is the most common type: the training data is labelled (each example tagged with the correct answer), and the model learns to map input to label so it can predict labels for new inputs.
1. Mechanism is a loop of guess and correct: predict, compare to the true label, measure the error, nudge internal settings, repeat millions of times. Drives spam filters, medical-image classifiers, and credit scoring.
It is only as good as its labels. If training photos were one breed, or past credit decisions were biased, the model quietly repeats that pattern while looking objective, so data bias begins with the human label-makers.

Unsupervised learning

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Definition

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Note

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Tip

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Topic 1 - Introduction - Digital Society1 subtopic

Topic 2 - Concepts - Digital Society7 subtopics

Topic 3 - Content - Digital Society7 subtopics

Topic 4 - Contexts - Digital Society7 subtopics

Topic 5 - Challenges and Interventions - Digital Society (HL)3 subtopics

IB Digital Society 3.6B Types and Uses of Machine Learning Notes

Topic 1 - Introduction - Digital Society1 subtopic

Topic 2 - Concepts - Digital Society7 subtopics

Topic 3 - Content - Digital Society7 subtopics

Topic 4 - Contexts - Digital Society7 subtopics

Topic 5 - Challenges and Interventions - Digital Society (HL)3 subtopics

3.6B Types and Uses of Machine Learning

What machine learning is

Supervised learning

Unsupervised learning

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Duis aute irure dolor in reprehenderit

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3.6B Types and Uses of Machine Learning

What machine learning is

Supervised learning

Unsupervised learning

anim nostrud sit dolore minim proident quis fugiat velit et eiusmod nulla quis nulla mollit dolor sunt culpa aliqua

Duis aute irure dolor in reprehenderit

Excepteur sint occaecat cupidatat non proident

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