USING STATISTICS IN MACHINE LEARNING

  Statistics a subfield of Mathematics. Statistical modeling is  a formalization of relationships between variables in the data in the form of mathematical equations. There are two major schools of thought: Frequentist and Bayesians (based on probability — another subfield of Mathematics that deals with predicting the likelihood of future events). ISS coaching in Lucknow further explains that statistics is usually applied to low-dimension problems when you need to know more about data and properties of estimators. Common examples of estimator properties include p-value, standard deviation, confidence interval or unbiased estimator. Machine Learning (ML) is a subfield of computer science and artificial intelligence. ML deals with building systems (algorithms, models) that can learn from data and observations, instead of explicitly programmed. Machine learning focus on algorithms, and a subset of these has as their objective to prediction some outcome based on a set of inp...