Machine Learning: offloading optimisation
Machine learning (ML) is a subset of AI. All machine learning is AI, but not all AI is machine learning. Interest in ‘AI’ today reflects enthusiasm for machine learning, where advances are rapid and significant.
The goal of most machine learning is to develop a prediction engine for a particular use case. Machine learning algorithms learn through training.
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3 Categories of Machine Learning
- Supervised learning: It has a set of labelled data to train the model on. In a way, it means supervising a machine by providing a ton of information about a particular case and giving it the case outcome.
- Unsupervised learning:
To wrap it up...
- AI refers to machines exhibiting human-like intelligence. There are several techniques for that, machine learning being one of the most prominent ones.
- AI’s ultimate goal is to develop a smart system to simulate human thinking and intelligence, while ML allow...
Machine Learning as a part of a greater whole
Machine learning relies on defining behavioural rules by examining a set of data to find patterns. Since the main objective of ML is to enable machines to learn by themselves, given a set of data, it is merely a technique for realising AI.
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