1d ago 路 56 min read 路 Introduction What Is Image Inpainting Image inpainting is the computational task of reconstructing missing, corrupted, or deliberately removed regions of a digital image in a way that is visually plau
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Dec 11, 2025 路 6 min read 路 Your AI projects need data. Lots of it. But your legal and compliance teams need to sign off on how you get it; and they鈥檙e asking harder questions than they did two years ago. That tension is real, and it鈥檚 not going away. The companies pulling ahea...
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Sep 1, 2025 路 5 min read 路 Introduction The alcohol and liquor market has grown rapidly in recent years, with a surge in online sales and consumer reviews influencing purchasing behavior. Understanding brand performance, SKU details, and customer sentiment has become essential...
Join discussionAug 29, 2025 路 4 min read 路 In the rapidly evolving field of Data Science, the foundation of every analysis, visualization, or machine learning model is data. Yet, understanding datasets goes far beyond their collection鈥攊t involves recognizing their types, formats, ownership mo...
Join discussionJul 31, 2025 路 5 min read 路 The AI landscape is evolving rapidly, and while model architecture and compute power are critical, the true differentiator is increasingly becoming the data. As companies move away from building models from scratch, the focus shifts to dataset engine...
Join discussionJun 6, 2025 路 2 min read 路 What is Dropout? Dropout is a regularization technique used to reduce over-fitting in Neural Networks(NN), Deep Learning. Over-fitting occurs when a model fits very well on training data but performs poorly on new data. A complex MLP tries to make a ...
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Sep 26, 2024 路 3 min read 路 In this blog, I am going to share some updates of my bot, that I am building. This bot is an Empathetic Mental support bot, which will become your AI companion you share anything with it and can express how you're feeling and many more!! Today, I wil...
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Aug 12, 2024 路 3 min read 路 Modern AI tooling is mainly based on building models trained by lots of data rather than developing clever algorithms. This means that once you move beyond the basics of calling models others have developed and want to start training your own models,...
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Apr 11, 2024 路 8 min read 路 In my opinion, there's no better way to learn a new skill than just sitting down and doing it. Sometimes that's easier said than done, and sometimes we're so new to a field that we might not even know what skill we should learn. When I decided to lea...
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Feb 18, 2024 路 3 min read 路 My current interest area in Computer Science research is the applications of machine learning in space and on satellites. In order to learn more about this intersection of space exploration and machine learning, I am participating in the MIT ARCLab P...
SKaram commented
