Tag: Artificial Intelligence

Daily Dose of Data Science – Day 8 – Scenarios in which Transfer Learning may not work

In one of the previous editions of Daily Dose of Data Science I had talked about how TensorFlow Hub can accelerate modeling of unstructured data using the concept of transfer learning. But there are many possible scenarios in which Transfer Learning may not be the most effective option to go for. In this post, I will…
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Daily Dose of Data Science – Day 6 – An easy approach to extract Keywords from paragraphs using KeyBERT

Welcome everyone for yet another Daily Dose of Data Science! For day 6, we will explore the world of natural language for the use case of keyword extraction from text using the BERT based architecture called KeyBERT. Let’s get started! KeyBERT is an open source Python framework with minimal and easy-to-use keyword extraction technique that…
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Daily Dose of Data Science – Day 2 – EDA made easy with Pandas Profiling

Welcome to day 2 of the Daily Dose of Data Science series! In this post we will discuss about a very useful framework called Pandas Profiling for doing a thorough exploratory data analysis in Python! I believe Exploratory Data Analysis (EDA) is one of the most important steps of a data science process. It is…
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Daily Dose of Data Science – Day 1 – Keep yourself updated with the state of the art with PapersWithCode

Daily dose of data science is an initiative started to bring everyday tips, suggestions and recommendations for all enthusiasts who are practicing the art and science of Data Science! In this post, we will discuss more on the wonderful platform of paperswithcode that will get help you discover some of the fascinating research work done…
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Artistic image generation using Neural Style Transfer

In this post, we will learn how to use deep learning to generate images (base image) in the style of another image (style image). This is known as neural style transfer! This is a technique outlined in Leon A. Gatys’ paper, A Neural Algorithm of Artistic Style which is a great read, and you should…
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