The field is quite vast and is expanding rapidly, being continually partitioned and sub-partitioned ad nauseam into different sub-specialties and types of machine learning. So what exactly is “machine learning” anyway? ML is actually a lot of things. This Machine Learning tutorial introduces the basics of ML theory, laying down the common themes and concepts, making it easy to follow the logic and get comfortable with machine learning basics. A major reason for this is that ML is just plain tricky. The supply of able ML designers has yet to catch up to this demand.
ML provides potential solutions in all these domains and more, and is set to be a pillar of our future civilization. Machine Learning (ML) is coming into its own, with a growing recognition that ML can play a key role in a wide range of critical applications, such as data mining, natural language processing, image recognition, and expert systems.
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