Asked by: Jofre Opfermanntechnology and computing artificial intelligence
What is machine learning in detail?
Last Updated: 6th June, 2020
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Keeping this in view, what is machine learning and its types?
Machine learning is sub-categorized to three types: Supervised Learning – Train Me! Unsupervised Learning – I am self sufficient in learning. Reinforcement Learning – My life My rules!
One may also ask, what is machine learning and why is it important? The iterative aspect of machine learning is important because as models are exposed to new data, they are able to independently adapt. They learn from previous computations to produce reliable, repeatable decisions and results. It's a science that's not new – but one that has gained fresh momentum.
Considering this, what is machine learning and how does it work?
Machine learning is a data analytics technique that teaches computers to do what comes naturally to humans and animals: learn from experience. Machine learning algorithms use computational methods to “learn” information directly from data without relying on a predetermined equation as a model.
What is machine learning basics?
Machine Learning is a subset of AI where the machine is trained to learn from it's past experience. The past experience is developed through the data collected. Then it combines with algorithms such as Naïve Bayes, Support Vector Machine(SVM) to deliver the final results.