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.
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You got intrigued by the machine learning world and wanted to get started as soon as possible, read all the articles, watched all the videos, but still isn’t sure about where to start, welcome to the club.
What is Artificial Intelligence (AI)? AI is the ability of a machine to think like human, learn and perform tasks like a human. Know the future of AI, Examples of AI and who provides the course of Artificial Intelligence?
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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.