Role of Data Visualization in Machine Learning
Author(s): Benjamin Obi Tayo Ph.D. Originally published on Towards AI. Data visualization plays an integral role in machine learning from data analysis to model building, testing, evaluation, and selection Image by Benjamin O. Tayo Data Visualization is one of the most important …
Understanding the IoU Metric in Object Detection
Author(s): Pushkar Pushp Originally published on Towards AI. Computer Vision https://images.unsplash.com/photo-1453728013993-6d66e9c9123a?ixlib=rb-1.2.1&ixid=eyJhcHBfaWQiOjEyMDd9&auto=format&fit=crop&w=1950&q=80 Introduction In this post, we will cover the metric used for the evaluation of the object detection model. The metric is invariant of algorithms whether one uses RCNN, Fast-RCNN, Faster- RCNN, …
Machine Learning (ML) Algorithms For Beginners with Code Examples in Python
Author(s): Pratik Shukla, Roberto Iriondo, Sherwin Chen Machine Learning Algorithms Tree | Source: Image authored by Sherwin Chen, please cite it accordingly whenever used. The citation can be found at the bottom of the article. Overview of the major machine learning algorithms …
How to Build and Train Your First Neural Network
Author(s): Davuluri Hemanth Chowdary Originally published on Towards AI. Machine Learning Source: PythonProgramming Before we dive into the process of building the neural network, there are few prerequisites which you need to know. Tensor Tensor Operations Differentiation Gradient Descent Make sure you …
3 Levels of Data Science
Author(s): Benjamin Obi Tayo Ph.D. Originally published on Towards AI. Data Science Top highlight Image by Benjamin O. Tayo This article will discuss what I consider to be the three levels of data science competency, namely: level 1 (basic level); level 2 …
Linear Regression Explained
Author(s): Daksh Trehan Originally published on Towards AI. Explaining Linear Regression as easy as it could be. Designed on canva.com by Daksh Trehan It is often the first machine-learning algorithm to be taught due to its fundamental nature. It is part of …
Linear Regression Explained
Author(s): Daksh Trehan Originally published on Towards AI. Explaining Linear Regression as easy as it could be. Designed on canva.com by Daksh Trehan It is often the first machine-learning algorithm to be taught due to its fundamental nature. It is part of …
Convert Images to ASCII Art Images Using Python
Author(s): Pushkara Sharma Originally published on Towards AI. Programming In this article, we will use Python to convert any given image to an artistic ASCII colored image in less than 35 lines of code. Original Image on the left and Final ASCII …
Random Error Quantification in Machine Learning
Author(s): Benjamin Obi Tayo Ph.D. Originally published on Towards AI. Every machine learning algorithm has an inherent random error that must be assessed and quantified Image by Benjamin O. Tayo Every machine learning model has an inherent random error. This error arises …
From MAML to MAML++
Author(s): Edward Ma Originally published on Towards AI. Training Instability: Photo by Edward Ma on Unsplash Imagine that you only see dog a few times, human beings are able to recognize a new concept or idea and recognizing dog later on. Meta-Learning …
How to Perform Speech Synthesis in Python
Author(s): Tommaso De Ponti Originally published on Towards AI. Introduction to Text-To-Speech(TTS) in Python to perform useful tasks Photo by Michal Czyz on Unsplash Text to speech (TTS) is the use of software to create an audio output in the form of …
End to End Tree Based Algorithm I: Decision Tree
Author(s): Pushkar Pushp Originally published on Towards AI. Which path to choose !! Introduction This blog aims to introduce readers to the concept of decision trees, intuition, and mathematics behind the hood. In the course of the journey, we will learn how …
Introduction to the Pandas Library
Author(s): Saiteja Kura Originally published on Towards AI. Source — Nimble Coding Before beginning, I would suggest you read my previous article on NumPy here. Although NumPy’s arrays are better than Python’s data structures several limitations hinder its usage.1. NumPy’s high dimensional …
Implementation of Principal Component Analysis from scratch
Author(s): Navoneel Chakrabarty Originally published on Towards AI. Let’s Get Started Real-time data may have a vast number of attributes, which often makes essential Exploratory Data Analytics very difficult. Such data are known as highly Multi-Dimensional Data in which each and every …
Knowledge Graph Embeddings
Author(s): Edward Ma Originally published on Towards AI. Photo by chuttersnap on Unsplash In the previous stories, we introduced Introduction to Graph Embeddings, Random Walk in Node Embeddings, 4 Graph Neural Networks, and When GraphSAGE meets Pinterest. In this article, I introduce …
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