What interests you?

Disclaimer: This column is merely a guiding voice and provides advice and suggestions on education and careers. The writer is ...
Tech Xplore

No-code machine learning development tools

Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited ...
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 ...
IEEE

Support Vector Machines: Unveiling the Power and Versatility of SVMs in Modern Machine Learning

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 ...
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 ...