Nitish is a computer science undergraduate with keen interest in the field of deep learning. He has done various projects related to deep learning and closely follows the new advancements taking place in the field.
In the presence of extrinsic rewards, Deep Reinforcement Learning (RL) is a strong strategy for tackling complex control tasks. Playing video games with pixels,...
The popular Python machine learning toolkit Scikit-learn is a simple yet effective framework for classical machine learning. Scikit-learn is the preferred choice for training...
With the rapid rise of the internet, e-commerce websites like Amazon, eBay, and Walmart have become essential avenues for online buying and business transactions....
Autonomous checkout is a rapidly advancing technology that has the potential to transform the way people shop in physical establishments. It frequently uses cameras...
Drug discovery includes looking for biomedical connections between chemical compounds (drugs, chemicals) and protein targets. Drugs interact with biological systems on a fundamental level...
In many practical areas of machine learning, such as explainability, feature selection, data valuation, ensemble pruning, and federated learning, measuring relevance and attribution of...
Training extremely massive deep learning (DL) models on clusters of high-performance accelerators necessitate significant engineering effort for model definition and training cluster environment specifications...
