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Machine learnig - Coggle Diagram
Machine learnig
How
Data cleaning.
Feature extraction.
Choosing an algorithm.
Data collection
Training the model.
. Evaluating the model
Deploying the model
why
To discover patterns in data
To make better decisions
To automate complex tasks
For prediction and classification
Who
Reaserchers
Data scientists
Machine learning Engineers
Tec companies(Google,Amazon...)
Where
(E-commerce (product recommendations)
Banking (fraud detection
Healthcare (disease diagnosis
Self-driving cars
what
Allows machines to learn from data
Asublifed of Artifical intelligence
Uses algorithms that improve automatically through experience
When
When rules are too complex to write manually
When continuous improvement is needed
? When large amounts of data are available.
Types of machine learnig
Unsupervised Learning
Clustering
dimensionality reduction
Supervised Learning
classification
Regression
Reinforcement Learning
learning through trial and error