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What is AutoML? is it Good and should YOU be using it?
This story is going to be for all Machine Learning Engineers or for anyone who does not have a deep knowledge of running machine learning models or tuning the hyperparameters to get the best result for the ML models.
So let's just dive into the first question.. what is AutoML actually?
What is AutoML?
AutoML or Automated Machine Learning is the process of automating the tasks of applying Machine Learning(ML) to real-world problems. AutoML in most cases would include every stage from the beginning with a raw/dirty dataset to building a machine learning model which is ready for deployment.
The Current Scenario
As I mentioned in the beginning that most data scientists have to take care of small things. For example..the raw data may not be in a form that all algorithms can be applied to it. To make the data amenable for machine learning, a data professional has to apply appropriate data pre-processing, feature engineering, feature extraction, and feature selection methods.
