18_Machine learning 2

A set of instructions to follow in order to solve a problem.

• Algorithm

• Machine learning

• Neuron

• Neural network

A computer system can use it to perform a task without using instructions from us, relying on patterns and inference instead. It is seen as a subset of artificial intelligence

• Algorithm

• Machine learning

• Neuron

• Neural network

A basic unit of the brain, a cell designed to send information to other nerve cells, muscle, or gland cells.

• Algorithm

• Machine learning

• Neuron

• Neural network

type of machine learning which models itself after the human brain.

• Algorithm

• Machine learning

• Neuron

• Neural network

Several sets of data related to each other used to make decisions in machine learning algorithms. E.g. comments to make you happy and comments to make you sad

• Dataset

• supervised learning

• unsupervised learning

• Classifiers

A field in the dataset used in the machine learning algorithm. E.g. happy and sad

• Dataset

• supervised learning

• unsupervised learning

• Classifiers

Type of machine learning algorithm used to infer information from data without input from humans.

• Dataset

• supervised learning

• unsupervised learning

• Classifiers

All data is labeled and the algorithms learn to predict the output from the input data

• Dataset

• supervised learning

• unsupervised learning

• Classifiers

The data is split according to a certain requirements

• Decision tree learning

• Reinforcement learning

• Predictive models

• sentiment analysis

To identify and categorize opinions in text, in order to work out if the writer's attitude is positive, negative, or neutral.

• Decision tree learning

• Reinforcement learning

• Predictive models

• sentiment analysis