If you have been following my blogs, you must be already aware that I recently launched my...
Part
In this series I’ll be going through an end to end project doing deep data analysis with...
Understanding our journey from logistic regression through MLP, CNN, RNN, LSTM, Transformer, LLM to AGI(someday, maybe) In...
Dr. Emily thought in a busy lab, looking for ideas to make computers intelligent like people. A...
Doesn’t matter whether you are Data Scientist or not, you indulge in measuring the performance or (in...
In Part 1, we discussed the various perspectives through which probability is interpreted in real-world contexts. Now,...
In recurrent neural networks, parsing long sequences can pose significant challenges. In our previous blog post, we...
Last May, I wrote an article for Bitcoin Magazine predicting that Layer 2 (L2) metaprotocol solutions would...
In my previous post we talked about data poisoning and how it affects an ML system —...
The term “machine learning” was coined by Arthur Samuel in 1959. Arthur Samuel was an American pioneer...