Machine Learning. Types of Machine Learning

What’s Machine Learning?
“Machine learning will automate jobs that most people thought could only be done by people.” - Dave Waters
Examples:
- Amazon recommendations based on their customer’s browsing and purchasing behavior.
- Google’s search engine, that ranks the websites by relevancy.
- Self-driving cars.
- Email spam filters.

Types of Machine Learning
Learning algorithms:
Supervised learning
Unsupervised learning
Reinforcement learning
Desired output:
Classification (spam, not spam)
Regression (house prices, stock prices)
Clustering (customer segmentation)
Density estimation (test results of a specific number of people)
Dimensionality reduction (mapping inputs into a lower-dimensional space)

Neural Networks
Main objects of ANN:
Neurons (Nodes)
Layers
Learning
Connections
The goal is to mimic the way the human brain organizes and make right predictions

Neural Networks

Training
Back propagation:
Random weight
Take the inputs from the training set and pass them
Calculate error
Adjust the weights
Repeat this 10K times.

Training
Output = w1*in1 + w2*in2
Adustment = 0.01*err*input