What is Machine Learning 2019 ?

   What is Machine learning  2019 ?

Introduction

Machine Learning is the field of study that gives computers the ability to learn without being clearly programmed. ML is one of the most thrilling technologies that one would have ever come across. As it is obvious from the name, it gives the computer that which makes it more similar to humans: The ability to learn. Machine learning is actively being used today, perhaps in many more places than one would expect.

Origin  of Machine learning

While many machine learning algorithms have been around for a long time, the ability to mechanically apply compound mathematical calculations to big data – over and over, faster and faster – is a recent development. Here are a few widely revealed examples of machine learning applications you may be familiar with

Types

This class of machine learning algorithm involves identifying a connection -- generally between two variables -- and using that correlation to make prediction about future data points.

Decision Trees:

These models use observations about certain actions and identify an optimal path for inward at a preferred outcome.

K-means Clustering:

This model groups a specified number of data points into a specific number of grouping based on like characteristics.

Neural networks:

These deep learning models utilize large amounts of training data to identify correlation between many variables to learn to process received data in the future.

Reinforcement learning

This area of deep learning involves models iterating over many attempts to complete a process. Steps that produce favorable outcomes are rewarded and steps that produce undesired outcomes are penalized until the algorithm learns the best possible process.

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