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This is the 13th article in my series of articles on Python for NLP. In the previous article, we saw how to create a simple rule-based chatbot that uses cosine similarity between the TF-IDF vectors of the words in the corpus and the user input, to generate a response. The...
Usman Malik
Generative models are a family of AI architectures whose aim is to create data samples from scratch. They achieve this by capturing the data distributions of the type of things we want to generate. These kinds of models are being heavily researched, and there is a huge amount of hype...
Daniele Paliotta
This is the 12th article in my series of articles on Python for NLP. In the previous article, I briefly explained the different functionalities of the Python's Gensim library. Until now, in this series, we have covered almost all of the most commonly used NLP libraries such as NLTK, SpaCy,...
In this tutorial, we are going to learn how to use OpenCV library in Python. OpenCV is an open source library which is supported by multiple platforms including Windows, Linux, and MacOS, and is available for use in multiple other languages as well; however, it is most commonly used in...
Muhammad Junaid Khalid
In this article we'll go over how the run-length encoding algorithm works, what it's used for, and how to implement its encode and decode functions in Python. Run-length encoding (RLE) is a very simple form of data compression in which a stream of data is given as the input (i....
Scott Robinson
In this tutorial, we are going to build an API, or a web service, for a todo app. The API service will be implemented using a REST-based architecture. Our app will have the following main features: Create an item in the todo list Read the complete todo list Update the...
Shadab Ansari
Linear regression is one of the most commonly used algorithms in machine learning. You'll want to get familiar with linear regression because you'll need to use it if you're trying to measure the relationship between two or more continuous values. A deep dive into the theory and implementation of linear...
Dan Nelson
Computing has evolved over time and more and more ways have come up to make computers run even faster. What if instead of executing a single instruction at a time, we can also execute several instructions at the same time? This would mean a significant increase in the performance of...
Robley Gori
In this article, we will be using the Wikipedia API to retrieve data from Wikipedia. Data scraping has seen a rapid surge owing to the increasing use of data analytics and machine learning tools. The Internet is the single largest source of information, and therefore it is important to know...
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