Demystifying Machine Learning Algorithms by Learning Style-Series1-Introduction.

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Demystifying Machine Learning Algorithms by Learning Style-Series1-Introduction.

Machine learning algorithms learn from the provided data and get trained to make “informed decisions”.

An example is after training on a set of experimental weather data, a machine learning model can make an informed decision like, the weather is going to rain tomorrow or not.

So as explained above, machine learning algorithms has to learn about the available data first.

 This learning process can be basically done in four styles namely; Supervised Learning, Unsupervised Learning, Semi-Supervised Learning and Reinforcement Learning.

The learning style of a machine learning algorithm depends on the nature of the provided data. The algorithms can be grouped under the above four learning styles.

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