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AI: A Few More Useful Python Libraries

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In the previous article in this series, we discussed the history of AI. We have also discussed matrices in detail earlier. In this third...

R Series: ‘dplyr’ Package

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In this twenty-second article in the R, Statistics and Machine Learning series, we will continue on the exploration of handling text using the ‘dplyr’...

Generative AI: The Next Big Thing

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Generative AI is changing the face of technology. Let’s take a brief look at the history of AI and how it has evolved over...

Meet OpenChatKit: An Alternative To ChatGPT

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With the aid of OpenChatKit, programmers can easily create their own unique chatbot applications, fine-tune the model, retain dialogue context, moderate responses, and more. Since...

TensorFlow and Tesseract OCR: Two Popular AI/ML Tools

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The article gives an overview of two popular AI and ML tools — TensorFlow and Tesseract OCR — which have been developed by Google...

AI: An Introduction to Probability

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In the previous article in this series on AI (August 2022 issue of OSFY), we continued our discussion of matrices and linear algebra. We...

AI: Anaconda and More on Probability

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In the previous article in this series on AI and machine learning, we began by exploring the intricacies of using TensorFlow, a very powerful...

How to Analyse Sentiments Using Machine Learning

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This article will help you understand the concept of sentiment analysis and learn how it is done. It uses different machine learning algorithms for...

AI, ML and DL: What’s the Difference?

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We often use the terms artificial intelligence, machine learning and deep learning interchangeably, even though we read or hear about them almost each day....

AI: Some History and a Lot More about Matrices

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In the first article on this series on AI (published in OSFY, June 2022), we discussed how fields like AI, machine learning, deep learning,...