IEEE

Adaptive Kernel Optimization for Probabilistic Learning: Integrating Support Vector Machines with Gaussian Process Frameworks

Abstract: With its robust capabilities for non-linear regression and classification, kernel-based learning has emerged as a fundamental component of state-of-the-art machine learning approaches. In ...
Learn With Jay on MSNOpinion

Supervised learning made easy: Real-world example explained

In this video, we will study Supervised Learning with Examples. We will also look at types of Supervised Learning and its ...
Learn With Jay on MSN

Build a deep neural network from scratch in Python

We will create a Deep Neural Network python from scratch. We are not going to use Tensorflow or any built-in model to write ...
Analytics Insight

Avoid These 10 Machine Learning Project Mistakes

Overview: Clear problem definitions prevent wasted effort and keep machine learning work focused.Clean, well-understood data ...
IEEE

Reinforcement Learning based Method for Online Parameter Identification of the Permanent Magnet Synchronous Machines

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 ...