The Fundamentals of Neural Architecture Search (NAS)
Author(s): Arjun Ghosh Machine Learning Neural Architecture Search (NAS) has become a popular subject in the area of machine-learning science. Commercial services such as Google’s AutoML and open-source libraries such as Auto-Keras [1] make NAS accessible to the broader machine learning environment. …
Arithmetic Mean and Its Applications in Data Analytics
Author(s): Mahbubul Alam From averaging monthly expenses to machine learning algorithms — wide-spread use cases of arithmetic mean. Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Chest X-Ray Abnormality Classification Using Monk AI
Author(s): Kushagra Awasthi Making computer vision easy with Monk, low code Deep Learning tool and a unified wrapper for Computer Vision. Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Demystifying Principal Component Analysis
Author(s): Abhijit Roy Photo by Antoine Dautry on Unsplash Data Science Data visualization has always been an essential part of any machine learning operation. It helps to get a very clear intuition about the distribution of data, which in turn helps us to …
State of AI in 2020: Where the Industry is Evolving
Author(s): Michelangiolo Mazzeschi AI is one of the most rapid industry to be subject to changes. After having gained enough experience in the sector, I have been writing a… Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Introduction to Bayesian Inference
Author(s): ___ Originally published on Towards AI. A Distribution With No Constraints Top highlight In this article, I will explain what the maximum entropy principle is, how to apply it and why it’s useful in the context of Bayesian inference. The code …
Bayesian Inference: The Maximum Entropy Principle
Author(s): ___ A visual explanation of the intuition behind the The Maximum Entropy Principle Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Machine Learning Workflow: A Coding Guide
Author(s): Ramsha Azeemi A Beginner’s Guide to explore the model training steps in ANN. Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
NLP News Cypher | 07.19.20
Author(s): Ricky Costa Originally published on Towards AI. Photo by mohammad alizade on Unsplash NATURAL LANGUAGE PROCESSING (NLP) WEEKLY NEWSLETTER NLP News Cypher U+007C 07.19.20 Modularity Twitter’s Help Desk had a productive work week. How productive? U+1F447 very productive In case you …
Understanding Artificial Intelligence
Author(s): Lawrence Alaso Krukrubo Originally published on Towards AI. Artificial Intelligence, Opinion A few minutes exploring AI… Artificial Intelligence (AI) is such a buzz word these days and one thing about buzz words is… ‘They often get lost in translation’. img_credit Ask …
Understanding Artificial Intelligence
Author(s): Lawrence Alaso Krukrubo A few minutes exploring AI… Artificial Intelligence (AI) is such a buzz word these days and one thing about buzz words is… ‘They often get lost in translation’. img_credit Ask any Data Scientist (including yours truly) about AI, …
3 Steps to Improve Artificial Intelligence in Healthcare
Author(s): Avishek Choudhury, Ph.D. Originally published on Towards AI. Artificial Intelligence, Research Optimal Trust, Data Governance, and AI Standards can solve many problems concerning AI in healthcare. Photo by Owen Beard on Unsplash Accuracy, precision, recall and other measures of AI efficacy …
Quality Data Drives the success of Machine Learning and Artificial Intelligence
Author(s): Mohua Sen AI/ML application to perform analysis and generate insights, you need to provide useful quality data. History says the 16th century was the time during which the rise of Western civilization occurred. During this time, Spain and Portugal explored the Indian …
Over The Rainbow
Author(s): Abby Seneor Originally published on Towards AI. Artificial Intelligence, Fairness People expected AI to be unbiased; that’s just wrong. If the underlying data reflects stereotypes, you will find these things.This is a story about Equality, Equity, Justice and the dark side …
Tackling the Time Series Take-home Assignment: A Case Study in Python
Author(s): Varshita Sher Improving Customer Support with Call Centre Analytics Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
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