Data comes in different shapes and forms. One of those shapes and forms is known as categorical data. This poses a problem because most Machine Learning algorithms use only numerical…
Removing the outer border of Landsat satellite images using the stac file (source: author)Telling stories with satellite images is straightforward. The mesmerising landscapes do most of the work. Yet, visualising…
Enhancing the receptive field of models is crucial for effective 3D medical image segmentation. Traditional convolutional neural networks (CNNs) often struggle to capture global information from high-resolution 3D medical images.…
On a scale from 1 to 10 how good are your data ingestion skills? Photo by Blake Connally on UnsplashData ingestion is a crucial step in data engineering. Data engineers…
Image by DALLE
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LinkedIn is a professional networking site that has allowed professionals to connect around the world, land amazing jobs, and continuously keep you in the loop…
Large-scale pre-trained vision-language models, exemplified by CLIP (Radford et al., 2021), exhibit remarkable generalizability across diverse visual domains and real-world tasks. However, their zero-shot in-distribution (ID) performance faces limitations on…
Numerous challenges underlying human-robot interaction exist. One such challenge is enabling robots to display human-like expressive behaviors. Traditional rule-based methods need more scalability in new social contexts, while the need…
Four Apache Airflow internals you might have missed Image generated via DALL-EI have been working with Airflow for more than three years now and overall, I am quite confident with…
Image generated with Segmind SSD-1B model
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Given how competitive the tech job market is right now, you should constantly upskill and improve your technical chops. For any role…
Insights after two years in the industry Example of an encoder and a graph in the latent space (image by author)The scenario: a high-speed production line is producing thousands of…