But don't know the path yet?
In my last series of posts on Transformers, I talked about how a transformer works and how to implement one yourself for a translation task.
Finally, my program is running! Should I go and get a coffee?
Algorithms are an integral part of data science. While most of us data scientists don’t take a proper algorithms course while studying, they are important all the same.
In my last post on BERT , I talked in quite a detail about BERT transformers and how they work on a basic level.
In one of my previous posts, I talked about how to become a data Scientist using some awesome resources from Coursera .
ROC curves, or receiver operating characteristic curves, are one of the most common evaluation metrics for checking a classification model’s performance.
In my last post , I talked about Object-Oriented Programming(OOP). And I specifically talked about a single magic method __init__ which is also called as a constructor method in the OOP terminology.
Python in many ways has made our life easier when it comes to programming.
Object-Oriented Programming or OOP can be a tough concept to understand for beginners.
I love working with shell commands. They are fast and provide a ton of flexibility to do ad-hoc things.
I’m a data scientist consultant and big data engineer based in Bangalore, where I am currently working with WalmartLabs .