Machine Learning

Machine Learning

What is Machine Learning?

The ability of a machine to learn from data

Field that enables computers to learn without explicitly programming them.

-- Arthur Samuel, 1959

Teaching computers to learn from previous experience

History of Machine Learning

1943

Warren McCulloch and Walter Pitts created a model for neural networks.

1950

1959

1965

1970-80

1998

2011

Present

Alan Turing published a paper called "Computing Machinery and Intelligence".

Arthur Samuel popularized the phrase machine learning.

The first working deep learning networks were created by Alexey Ivakhnenko and fellow researchers.

The stochastic gradient descent algorithm was created by Yann LeCun.

ID3 and DART decision tree algorithms were created.

The AlexNet neural network was created by Alex Krizhevsky

GPUs and TPUs power a larger portion of machine learning. Large option of frameworks and libraries for ML.

Where to use Machine Learning?

Complex problems whose solutions in traditional programming would require much fine tuning or extensive rules

Problems that have to adapt to new data

When to use Machine Learning?

You have a defined problem

The outcome is measureable

A solution using tradicional programming is not suitable