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Statistics plays a key role in almost everything from data science, machine learning to the stock market. It is important for data scientists to master statistics. This blog is a simple introduction to statistics the data scientist way.

Permutations and combinations are the fundamental concepts of probability theory. They are used in many areas of mathematics, statistics, and data science. In this article, we will learn about permutations and combinations in an easier and intuitive way.

Today's Large Language Models performance on many NLP tasks are more natural than average humans. As many AI organizations pushing the size of these models year by year clearing the obscured path towards achieving AGI. Hence, it is essential for everyone to know how these models work behind the scenes.

Pytorch is a deep learning library that is gaining popularity. It is a Python-based scientific computing package targeted at two sets of audiences: a replacement for NumPy to use the power of GPUs, and a deep learning research platform that provides maximum flexibility and speed. In this article, we will learn how to build a neural network model in Pytorch with best practices for a beginner through some visualizations.

After completing its Pre-training phase i.e., language modeling task, GPT-3 now has acquired the essence of language. It has learned how to write, read, and comprehend. But, how can we make use of this pre-trained GPT-3 model to perform any NLP task? Let’s explore this in this post.