Technology

What is machine learning?

Machine learning (ML) is a type of artificial intelligence (AI) that allows software applications to become more accurate at predicting outcomes without being explicitly programmed to do so. Machine learning algorithms use historical data as input to predict new output values

You have already meet it. It could be an algorithm is an on-demand music streaming service. For the service to make a decision about which new songs or artists to recommend to a listener, machine learning algorithms associate the listener’s preferences with other listeners who have similar musical tastes.
Machine learning involves a lot of complex math and coding that, at the end of the day, serves the same mechanical function that a flashlight, car, or computer screen does

Why is it important?

It is important because it gives companies a view of trends in customer behavior and business operational patterns, as well as supports the development of new products. Many of today's leading companies, such as Facebook, Google and Uber, make machine learning a central part of their operations. It will save you alot of time and money, by using machine learning

Strengthened competitiveness and optimized production

You can take better and more precise decisions with a collection of data. The digitalisation of the industry means that large amounts of data are automatically collected from many and different sources.
But you need to know how to get the data and present it in an easy and pretty way.

The computer predicts and makes decisions

The machine will collect alot of data, then build a model based on the data. The finished model can make predictions based on the new data.

Deep Learning

More specifically, deep learning is considered an evolution of machine learning. It uses a programmable neural network that enables machines to make accurate decisions without help from humans.
Deep learning breaks down tasks in ways that makes all kinds of machine assists seem possible, even likely. An example could be driving cars (without drivers). Better preventive healthcare, even better movie recommendations, are all here today or on the horizon.
A deep learning model is designed to continually analyze data with a logical structure similar to how a human would draw conclusions. To do that deep learning applications use a layered structure of algorithms called an artificial neural network

Neural network

The design of an artificial neural network is inspired by the biological network of neurons in the human brain, leading to a learning system that’s far more capable than that of standard machine learning models.

Examples

There is a lot of machine learning already

ThisIsNotAPerson

The site is made by artificial intelligence technology to draw an invented, photo-realistic human being with each refresh

Go to the site

Chatbots

A chatbot passes the Turing Test by convincing 33% of human judges that it was a Ukrainian teen named Eugene Goostman

Lip reading

LipNet, DeepMind's artificial intelligence system, identifies lip-read words in video with an accuracy of 93.4%

More websites

Examples on code to make a machine learning algoritme

Go to the site

Github copilot

A program that writes code for you

Go to the site