In this video, we will study Supervised Learning with Examples. We will also look at types of Supervised Learning and its ...
We will create a Deep Neural Network python from scratch. We are not going to use Tensorflow or any built-in model to write ...
Abstract: Support vector machines, or SVMs, have become a really big deal in machine learning because of how good they are at classification and regression problems. This article explores in-depth ...
Abstract: This paper presents a new method for identifying in-real time the permanent magnet synchronous machines (PMSMs)’ inductances by utilizing machine learning algorithms. The proposed technique ...
Overview:  Reinforcement learning in 2025 is more practical than ever, with Python libraries evolving to support real-world simulations, robotics, and deci ...
Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...
The native just-in-time compiler in Python 3.15 can speed up code by as much as 20% or more, although it’s still experimental ...