The essence of machine learning is function estimation
This post talks explains how the essence of machine learning is function estimation.
This post talks explains how the essence of machine learning is function estimation.
This post talks about time series and forecasting.
This post talks about one of the best lessons I have experienced.
This post talks about building machine learning models in H2O using R.
This post talks about adversarial validation- an approach to the problem of differently distributed training and test data.
This post talks about adversarial validation- an approach to the problem of differently distributed training and test data.
This post talks about the usage of git and github
This post talks about the trade-off between bias and variance.
This post talks about visualization -one of the most important aspects of data science that often gets ignored.
Ever imagined a filmy secret Santa