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