Machine Learning
Machine learning is a subset of AI that enables computers to learn from data without being explicitly programmed. It involves algorithms that improve automatically through experience, allowing computers to recognize patterns and make decisions without human intervention.
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Must know AI terminology and concepts
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Similar ideas to Machine Learning
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:
Machine learning for autonomous cars
Currently, there is no widely accepted and agreed basis for ensuring that the machine learning algorithms used in the vehicles are safe.
Autonomous vehicles will use artificial intelligence and machine learning to process the data collected from its sensors to help make de...
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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