K-means Clustering in a Nutshell
Author(s): Ramya Vidiyala The simplest clustering algorithm Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Debunking the Myths about Artificial Intelligence
Author(s): Dr. Murat Açar Artificial Intelligence, Opinion 1. “Artificial intelligence is a fad/hype/buzzword.” First, the elephant in the room rises, and there is no room to pretend not to see it. About the organizations and people thinking about artificial intelligence (AI) as …
First Principles Approach in Data Science
Author(s): Benjamin Obi Tayo Ph.D. First principles approach to problem-solving is the act of breaking a problem down to the fundamental parts and building up from there Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Sentiment Analysis — ML project from Scratch to Production (Web Application)
Author(s): Shareef Shaik Originally published on Towards AI. Metrics used : A glimpse of the application we are going to build. When I started learning Data science, I always get lost in the amount of material it offers. After learning it for …
First Principles Approach in Data Science
Author(s): Benjamin Obi Tayo Ph.D. Originally published on Towards AI. a. Problem Framing Image Source: Pexels The first principles approach to problem-solving is the act of breaking a problem down to the fundamental parts and building up from there. This method is …
ResNet Architecture: Deep Learning with PyTorch
Author(s): Satyam Kumar Singh Originally published on Towards AI. Deep Learning From winning ImageNet Large Scale Visual Recognition Challenge (ILSVRC) in 2015 till now ResNet Architecture has been remarkable in the field of Data Science. Apart from ILSVRC, ResNet also won Detection …
AI Generates 3D high-resolution reconstructions of people from 2D images | Introduction to PIFuHD
Author(s): Louis Bouchard Originally published on Towards AI. This AI Generates 3D high-resolution reconstructions of people from 2D images! It only needs a single image of you to generate a 3D avatar that looks just like you, even from the back! The …
GitHub API With Python & PowerShell Scripting
Author(s): Ritheesh Baradwaj Yellenki Using GitHub API with Python and PowerShell Scripting to create and manage repositories Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
K-means Clustering from Scratch
Author(s): Sayar Banerjee NumPy is all you need Photo by h heyerlein on Unsplash An Algorithm must be seen to be believed — Donald Knuth Overview The science of Machine Learning can be broadly classified into two categories: Supervised learning Unsupervised learning In this blog post, we …
Supporting the Math Behind Supporting Vector Machines!
Author(s): Daksh Trehan A quick tour to SVM constituting mathematical & theoretical explanation along with from the scratch implementation. Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Why Choose Random Forest and Not Decision Trees
Last Updated on November 17, 2020 by Editorial Team Author(s): Daksh Trehan A concise guide to Decision Trees and Random Forest. Decision trees belong to the family of the supervised classification algorithm. They perform quite well on classification problems, the decisional path is …
Is the Data Analytics Era Coming to an End?
Author(s): Manmohan Singh Data Analytics, Opinion Importance of Text Analytics in NLP Source: Markus Spiske from Unsplash Can you recall, when the last time have you used text analytics? Or read an article about it on medium and other blogs? Do you know any …
YOLO V5 — Explained and Demystified
Last Updated on July 1, 2020 by Editorial Team Author(s): Mihir Rajput Computer Vision YOLO V5 — Explained and Demystified YOLO V5 — Model Architecture and Technical Details Explanation Source: https://pixabay.com/ From my previous article on YOLOv5, I received multiple messages and queries on how things …
Clustering : What it is? When to use it?
Last Updated on July 1, 2020 by Editorial Team Author(s): Daksh Trehan Machine Learning Clustering: What Is It and When To use it? A comprehensive guide to K-Means, K-Means++, and DBSCAN. Clustering is a Machine Learning technique whose aim is to group the data …
Assumptions of Linear Regression — What Fellow Data Scientists Should Know
Author(s): Shaurya Lalwani Originally published on Towards AI. Photo by Marius Masalar on Unsplash Linear Regression is a linear approach to modeling the relationship between a target variable and one or more independent variables. This modeled relationship is then used for predictive …
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