What Are The 3 Basic Types Of Machine Learning Problems? YourQuorum
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- Reads 2
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- Parts 1
- Time <5 mins
Ongoing, First published May 31, 2023
3 Basic Types Of Machine Learning Problems The term "machine learning" is often mistakenly confused with artificial intelligence [JB1], but machine learning is actually a sub-term. Field type/AI. Machine learning is also often referred to as predictive analytics or predictive modeling. The term "machine learning" was coined by American computer scientist Arthur Samuel in 1959 and is defined as "the computer's ability to learn without being explicitly programmed". In its most basic form, machine learning uses programmed algorithms that receive and analyze input data to predict output values within an acceptable range. As these algorithms are fed new data, they learn and modify their operations to improve performance, developing "intelligence" over time. There are four types of machine learning algorithms: supervised, semi-supervised, unsupervised, and enhanced. Read More: https://www.yourquorum.com/question/what-are-the-3-basic-types-of-machine-learning-problems?utm_source=wattpad_sh&utm_medium=wattpad_sh&utm_campaign=wattpad_shAll Rights Reserved
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