Applied ML Course: Introduction
Complete Notes
Summary
A Definition of Machine Learning
In 1959, Arthur Samuel defined machine learning as follows.
Machine learning is a field of study that gives computers the ability to learn without being explicitly programmed.
What does "learn" and "explicitly programmed" mean here? Let's look at an example.
Why Machine Learning?
Why is this approach to building software interesting?
It allows building practical systems for real-world applications that couldn't be solved otherwise.
Learning is wildly regarded as a key approach towards building general-purpose artificial intelligence systems.
The science and engineering of machine learning offers insights into human intelligence.
Applications of Supervised Learning
Many of the most important applications of machine learning are supervised:
Classifying medical images.
Translating between pairs of languages.
Detecting objects in a self-driving car.
Reinforcement Learning
