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Machine Learning General Concepts - Coggle Diagram
Machine Learning General Concepts
Machine Learning
Is a method of data analysis that
automates
analytical model building.
Using algorithms that iteratively
learn
from data.
Allows computers to make
inferences or predictions
without being explicitly programmed how to infer.
Machine Learning uses
Fraud detection
Web search results
Real-time ads on web pages
Credit scoring
Prediction of equipment failures
Network intrusion detection
Recommendation Engines
Customer Segmentation
Text Sentiment Analysis
Email spam filtering
Pattern and Image Recognition
Neural Networks
Are a way of modeling biological neuron systems mathematically.
These networks can then be used to solve tasks that many other types of algorithms can not.
Deep Learning
simply refers to neural networks with more than one layer.
Types of Machine Learning
Supervised Learning
Unsupervised Learning
Summary
Machine Learning:
Automated analytical models.
Neural Networks:
A type of machine learning architecture.
Deep Learning:
A neural network with more than one hidden layer.