Machine Learning

From NovaOrdis Knowledge Base
Revision as of 21:06, 18 December 2017 by Ovidiu (talk | contribs) (→‎Feature)
Jump to navigation Jump to search

Machine Learning

The science of getting computers to learn without being explicitly programmed (Arthur Samuel).

A computer program is said to learn from experience E with respect to some task T and some performance measure P, if its performance on T, as measured by P, improves with experience E (Tom Mitchell)

Neural Networks

Learning algorithms that mimic how the brain works.

Natural Language Processing (NLP)

Learning Algorithms

Supervised Learning

In supervised learning, we have at our disposal a dataset that tell us which is the "correct answer".

Regression Problem

The goal is to predict a continuous value.

See:

Regression

Classification Problem

A classification problem is the problem of identifying which category (out of a set of categories) an example belongs to. The goal of a classification problem is to predict a discrete value out of a set of possible discrete values.

See:

Classification

Unsupervised Learning

Reinforcement Learning

Recommender System

Feature

Synonymous with attribute.

  • Infinite number of features.

Organizatorium