4 Graph Neural Networks you Need to Know (WLG, GCN, GAT, GIN)
Author(s): Edward Ma Originally published on Towards AI. Top highlight Photo by Edward Ma on Unsplash We went through Knowledge Graph Embeddings and Random Walk in previous graph neural network stories. Knowledge graph embeddings train entity embeddings for downstream tasks. On the …
Problem Framing: The Most Difficult Stage of a Machine Learning Project Workflow
Author(s): Benjamin Obi Tayo Ph.D. Originally published on Towards AI. Framing the right problem to tackle with data in a real-world project is not very straightforward Top highlight Photo by You X Ventures on Unsplash In this article, I will discuss why …
How My Team of Undergrads Won a Data Science Competition for Graduate and Ph.D. Students
Author(s): Brandon Walker Originally published on Towards AI. The Challenge Statement Top highlight I think there are a few secrets to success in data science that I uncovered while doing the Texas A&M Institute of Data Scienceβs Competition. Iβll outline my experience …
EfficientDet: When Object Detection Meets Scalability and Efficiency
Author(s): Aniket Maurya Originally published on Towards AI. EfficientDet, a highly efficient and scalable state of the art object detection model developed by Google Research, Brain Team. It is not just a single model. It has a family of detectors which achieve …
Will Your Education Pay You Well?
Author(s): Harsh Darji Originally published on Towards AI. Wage analysis using Random Forest https://pixabay.com/photos/woman-adult-people-money-3261425/ Wage analysis is a process of comparing the salaries based on the attributes attached to the employee. Of course, there are several factors like the company, location which …
Data Science: A Simple Path for Beginners
Author(s): Surya Govind Originally published on Towards AI. How to start? Learn all you need in one year Photo by Austin Distel on Unsplash First, What is Data Science: Data science is an interdisciplinary field that uses scientific methods, processes, algorithms, and …
How Practical Is Python For Prototyping Data Science Projects At Scale?
Author(s): ___ Originally published on Towards AI. The Naive Solution In this article, I will share my thoughts on the practicality of using Python to work on compute-intensive data science projects. The primary audience for this article is data scientists working in …
Bond Valuation and Analysis (Part 1)
Author(s): Mishtert T Originally published on Towards AI. A Baby Step into World of Applied Finance How to calculate Present Value, Future Value, Time Value of Money β an R Example Bonds are units of corporate debt issued by companies and securitized …
Custom Object Detection using EfficientDet- The Simplest way
Author(s): Akula Hemanth Kumar Originally published on Towards AI. Object Detection In this article, I am going to show you how to create your custom object detector using Monkβs EfficientDet. I am assuming that you already know pretty basics of deep learning …
Multi-resolution Image Processing and Compression
Author(s): Akula Hemanth Kumar Originally published on Towards AI. Making computer vision easy with Monk, low code Deep Learning tool and a unified wrapper for Computer Vision. Reference: Google Image Table of contents Multi-scale Image processing Image pyramids Image pyramids using OpenCV …
How To Commit Your Cloud Credentials To Version Control Systems
Author(s): ___ Originally published on Towards AI. Commit your cloud credentials to version control systems securely In this article, I will share a way to securely commit sensitive information to version control systems (VCS). The focus will be on committing AWS credentials, …