Shubham Pratap Singh

Mar 12

Handling Big Data for ML applications.

Mentioned below are 6 ways of handling a huge amount of data while training an ML model. Abstracting data: A key concept underlying Deep Learning methods is distributed representations of the data, in which a large number of possible configurations of the abstract features of the input data are feasible…

Big Data

2 min read

Mar 12

Principal Component Analysis — Explained

If you are in any way related to the field of Data Science, Machine Learning, or in general Statistics you would have definitely come across the concept of Principal Component Analysis aka PCA. Personally speaking, I found the name itself quite a mouthful let alone the concept in itself. In…

Data Science

2 min read