Batch model deployments can be used for processing tabular data, but also any other file type like images. Those deployments are supported in both MLflow and custom models. In this tutorial, we will ...

This repository contains an implementation of Mini-Batch Gradient Descent, a variant of the Gradient Descent optimization algorithm often used in machine learning and deep learning. Mini-Batch ...

Abstract: In domain adaptation (DA), the effectiveness of deep learning-based models is often constrained by batch learning strategies that fail to fully apprehend the global statistical and geometric ...

Abstract: Iterative learning control (ILC) and model predic-tive control (MPC) are both effective control methods for batch processes. Using ILC and MPC together, we propose a combined design scheme ...

According to Yann LeCun (@ylecun), choosing a batch size of 1 in machine learning training can be optimal depending on the definition of 'optimal' (source: @ylecun, July 11, 2025). This approach, ...

The Indian Institute of Technology Delhi (IIT Delhi) has launched the fourth batch of its prestigious Certificate Programme in Machine Learning and Deep Learning. This programme is designed to equip ...