Markov chains are a very simple and easy way to create statistical models on a random process. They are built on probability distribution.
Markov chains are a very simple and easy way to create statistical models on a random process. They have been used for quite some time now and mostly find applications in the financial industry and for predictive text generation. Markov chains became popular due to the fact that it does not require complex mathematical concepts or advanced statistics to build it. They are a great way to start learning about probabilistic modelling and data science implementations.
Read more: https://analyticsindiamag.com/hands-on-guide-to-markov-chain-for-text-generation/
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Machine learning is quite an exciting field to study and rightly so. It is all around us in this modern world. From Facebook’s feed to Google Maps for navigation, machine learning finds its application in almost every aspect of our lives. It is quite frightening and interesting to think of how our lives would have been without the use of machine learning. That is why it becomes quite important to understand what is machine learning, its applications and importance.