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We’ve all been there. You spend days tuning hyperparameters and tweaking your architecture, but the loss curve just won’t cooperate. In my experience, the difference between a successful project and a failure is rarely the model architecture. It’s al...

A few months ago, I landed a project where I had to build a computer vision model to detect keypoints on images of hand scans. I rolled up my sleeves and did what every diligent machine learning (ML) engineer does: Hyper-parameter tuning - dozens of...

Introduction In multilingual societies, it's common for people to blend languages when they speak or write. This phenomenon, known as code-mixing, poses a challenge for natural language processing (NLP), as there often isn't enough data to accurately...

Hey! Are you confident that your data is driving your business decisions effectively? Nowadays, data is the cornerstone of strategic initiatives, the quality and comprehensiveness of your data can significantly influence your success. If your data i...

I recently had the opportunity to attend the NVIDIA Deep Learning Institute (DLI) event hosted by Indian Institute of Information Technology Vadodara (IIITV), where I completed the Fundamentals of Deep Learning course. As someone passionate about bot...
