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Introduction to Machine Learning

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Abstract

When we are born, we are incapable of doing anything. We can’t even hold our head straight at that time, but eventually we start learning. Initially we all fumble, make tons of mistakes, fall down, and bang our head many times but slowly learn to sit, walk, run, write, and speak. As a built-in mechanism, we don’t require a lot of examples to learn about something. For example, just by seeing two to three houses along the roadside, we can easily learn to recognize a house. We can easily differentiate between a car and a bike just by seeing a few cars and bikes around. We can easily differentiate between a cat and a dog. Even though it seems very easy and intuitive to us as human beings, for machines it can be a herculean task.

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© 2019 Pramod Singh

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Singh, P. (2019). Introduction to Machine Learning. In: Machine Learning with PySpark . Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-4131-8_2

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