Machine Learning & AI

Nowadays, people benefit from artificial intelligence in their everyday life: Siri and Alexa, Google maps, AI robots, social media—behind all this is AI. Here is what Artificial Intelligence, Machine Learning, and Deep Learning actually means.

Artificial Intelligence is a science that studies ways to build intelligent programs and machines that can solve problems, which has always been deemed a human privilege.

Machine Learning (ML) is a subcategory of Artificial Intelligence that aims to make systems able to automatically learn from experience without being programmed. In ML, different algorithms help to solve problems.

Deep Learning is a subcategory of ML, where neural networks are utilized to analyze different factors with a structure similar to the human neural system.

Dejure Technologies works with essential pieces of data that work as the key to the solution of the task and tries to demonstrate to the machine what to pay attention to.

Narrow AI

Narrow AI

Narrow AI helps to find automated solutions to a problem or inconvenience or to simply make something work better already works..

General AI

General AI

General AI specializes in teaching the machine to understand and reason on a broad level, just like a human would.

Supervised learning

Supervised learning

Supervised machine learning builds on what it has learned in the past and uses that to new data. It applies labeled examples to predict future patterns and events.

Unsupervised learning

Unsupervised learning

Unsupervised learning algorithms use previously undetected patterns in a dataset consisting of input data with no pre-existing labels and with minimal human supervision.

Semi-supervised (SSL)

Semi-supervised (SSL)

Semi-supervised learning combines labeled data with unlabeled data and falls, therefore, between supervised learning and unsupervised learning.

Reinforcement learning

Reinforcement learning

A reinforcement learning algorithm learns by interacting with its environment. It obtains rewards by performing correctly and penalties for performing incorrectly.

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