Data Science

The main difference between AI vs Machine Learning vs Deep Learning

Machine learning vs deep learning

The main difference between AI vs Machine Learning vs Deep Learning.. Many misconceptions surround the word “word” today. Machine learning? Deep learning And artificial intelligence(AI) . Most people believe that all these things are the same. When they hear the term AI, they immediately associate it with machine learning. Let’s find out how. So we have explain  Machine Learning vs Deep Learning as…

Multi-Task Learning for Deep Learning

Multi task learning

Multi-task learning is a sub-field within Deep Learning. It is recommended that you familiarize yourself with the concepts of neural networks to understand what multi-task learning means. What is Multi-Task Learning and how can it help you? Multi-task learning is a subfield of Machine Learning. It aims to solve multiple tasks simultaneously by taking advantage the similarities between the tasks. This can increase the learning efficiency…

Confusion Matrix python plot

confusion matrix python plot

CM  Confusion Matrix python plot: Classification refers to the process of classifying a set of data into classes. In Machine Learning (ML), you create the problem, clean and add feature variables, train the model, measure it’s performance, and improve it with a cost function. How can we evaluate its performance? What are the most important features to be aware of? An easy and…

radiomics texture features

 Images radiomics texture features : radiomics texture features are very useful in image processing techniques to extract feature. Python can extract radiomics mri form medical images. This package is designed to serve as a reference standard for Radiomic Analysis. It also provides an open-source platform that allows reproducible and simple radiomics texture features. We want to increase awareness and grow the radiomic feature community…

Machine learning for kids

machine learning for kids

Machine learning for kid:  I’d like to introduce machine learning for kids a free tool to help school children learn about artificial intelligence and machine learning by letting them make things with it. I’m going to share some projects that I’ve seen school classes make with the tool and I’m going to talk a bit about what I saw them learned from…

WNet segmentation for unsupervised Images

WNET segmentation

WNet  WNet  segmentation  This is a tensorflow implementation of WNet  segmentation for unsupervised image segmentation. The architecture in WNet segmentation for unsupervised image classification  based on  shape that can be rebuilt Original input images and predictions of the segmentation Maps without labeling information. W-Net architecture consists of an UEnc on the left and a corresponding UDec on the right. It contains 46 Convolutional layers are organized into 18…

An Introduction to Graph Neural Networks (Basics and DeepWalks)

graph neural network

Graph Neural Network (GNN), has been gaining popularity in a variety of domains such as social network, knowledge graphs, recommender systems, and even life sciences. GNN’s ability to model dependencies between nodes within a graph has enabled breakthroughs in graph analysis research. This article will introduce the basics and two more advanced algorithms, DeepWalk (GraphSage), to Graph Neural Network. Graph: Before we dive into…