• Skip to main content
  • Skip to secondary menu
  • Skip to primary sidebar
  • Skip to footer
  • Home
  • Crypto Currency
  • Technology
  • Contact
NEO Share

NEO Share

Sharing The Latest Tech News

  • Home
  • Artificial Intelligence
  • Machine Learning
  • Computers
  • Mobile
  • Crypto Currency

Types of Machine Learning

December 21, 2020 by systems

Asep Saputra

Machine Learning is divided into 4 general categories, the following is the explanation!

Photo by Arseny Togulev on Unsplash

Machine Learning (ML) according to Arthur Samuel is a field that gives computers the ability to learn without being explicitly programmed.

Machine learning is a branch of AI that uses statistical methods to enable computers to learn patterns in data. Machine Learning is divided into 4 general categories, the following is the explanation:

Supervised Learning

In supervised learning, the dataset used as a label. Labels are tags or identifiers of data. For example, a fruit that has green attributes weighs more than 500 grams, has a hard, prickly skin, has a strong odour, and has sweet flesh. Fruit that has a reference as a stream that is recognized by durian, so the label of the attribute is durian. Email spam classification is an example of supervised learning.

Unsupervised Learning

In unsupervised learning, the dataset used has no labels. Unsupervised models do their study to label or group data. An example of an unsupervised case is from a data of 100 visitors to a website, the model will teach itself to classify visitors. Maybe based on time of visit, length of visit, number of clicks, and so on.

Semi-Supervised Learning

Semi-Supervised is a combination of supervised learning and unsupervised learning. IN a semi-supervised model, the dataset for training is partly labelled and partly not. The implementation of the semi-supervised model that we often use, for example, on Google Photos. In Google Photos, we can tag each person in a photo. As a result, when we upload a new photo with the person’s face that we tagged earlier, Google Photos will be automatically created by that person. One example of a semi-supervised model is the Deep Belief Network (DBN).

Reinforcement Learning

Reinforcement Learning is a learning model using a reward and penalty system. Learning model to continue to get rewards and avoid penalties. Alpha Go is a well-known example of reinforcement learning. Alpha Go is a program developed by Google DeepMind to play the game Go, a board game that originated in China. Alfa learns every step of the millions of go games to keep getting prizes that win games. Alpha Go became famous after becoming a computer program that managed to beat professional players.

Filed Under: Machine Learning

Primary Sidebar

Carmel WordPress Help

Carmel WordPress Help: Expert Support to Keep Your Website Running Smoothly

Stay Ahead: The Latest Tech News and Innovations

Cryptocurrency Market Updates: What’s Happening Now

Emerging Trends in Artificial Intelligence: What to Watch For

Top Cloud Computing Services to Secure Your Data

Footer

  • Privacy Policy
  • Terms and Conditions

Copyright © 2025 NEO Share

Terms and Conditions - Privacy Policy