In this blog, we will learn how to extract topics from the documents using LDA model of gensim module. Photo by Bram Naus on Unsplash

A sick word2vec joke! Gensim Word2Vec has been the most popular word embedding model for years. It hardly takes 5 lines of code to process raw text, train the model from scratch, and perform essential functions    

As Naval Ravikant says “Everyone should Learn Computers, so you don’t get scared when something breaks”. The same thing applies to math and machine learning. Learn the mathematical intuition behind it to some extent so you don’t get scared working with the algorithms. 🦹‍♂️ Deciphering the intuition!

Reprint from The AppsLab-Stories about Emerging Technologies August 2015 User experience design as a career fell largely on the era of GUI. Thus most people in my profession are visual thinkers if not by birth than by experience. When it comes to presenting information, we think    

Before I talk about how the experiment went and how many friends I lost, it’s relevant to know what GPT-3 is. This ‘strangely’ named AI is just the acronym for ‘Generative Pre-trained Transformer 3’ and is a product from a company called OpenAI. It’s based around a relatively new machine learning model called a Transformer, this architecture has changed the game for sequential data models and has smashed its predecessor the RNN.

Basics of Natural Language Processing on the example of AWS Lex and Comprehend. With the help of technology and a pinch of magic, we    

Table of Contents Introduction Why to convert text to vector Understanding Bag of words Technique.

5 essential steps to start working with Elasticsearch for NLP Written by Paweł Mielniczuk and Daniel Popek.