Abstract: The study aims to optimize the classification of reception of training participants using the K-Nearest Neighbors (KNN) algorithm by finding the optimal value for the K parameter through a ...
We will create a Deep Neural Network python from scratch. We are not going to use Tensorflow or any built-in model to write ...
NITK develops SVALSA, a machine learning-based landslide warning system for the Western Ghats, enhancing disaster ...
Abstract: The machine learning as a service (MLaaS) concept has become increasingly popular during the past decade, as cloud platforms offer improved availability and high-performance computational ...