History of Neural Networks! From Neurobiologists to Mathematicians
Author(s): Ali Ghandi Originally published on Towards AI. Deep Learning If you are familiar with Neural Networks and Deep learning, you might wonder what the relation between Neurons and the brain and these networks is. It seems they are based on some …
Topic Modeling Open Source Tool
Author(s): Opeyemi Bamigbade Originally published on Towards AI. A tool built with Python and Streamlit for topic modeling image by tommyboland A large amount of data is being generated and collected in different forms every second. Obtaining the right, relevant, and desired …
Topic Modeling Open Source Tool
Author(s): Opeyemi Bamigbade Originally published on Towards AI. A tool built with Python and Streamlit for topic modeling image by tommyboland A large amount of data is being generated and collected in different forms every second. Obtaining the right, relevant, and desired …
Building a Super-resolution Image Web-app
Author(s): Aanisha Bhattacharyya Originally published on Towards AI. In this article, we will build a web-app trained on the SRCNN model. The super-resolution web-app On giving an image as input, it reconstructs a higher resolution image of the same. I made this …
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 …
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 …
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 …
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 …
Machine Learning and Deep Learning — a Systematic Application
Author(s): Ranganath Venkataraman Originally published on Towards AI. TL/DR: regression offers improved performance over classification on the UCI Energy Efficiency dataset. A neural network regressor was no more effective than ensemble techniques like Gradient Boosting or Random Forest. Photo by Kevin Ku …
Diving Deep into Deep Learning
Author(s): Daksh Trehan Originally published on Towards AI. Deep Learning, Data Science An Unconventional Guide to Deep Learning We reside in a world, where we are constantly surrounded by deep learning algorithms be it for the good or worse cause. From the …
The Real Reason to Study Mathematics
Author(s): Michelangiolo Mazzeschi Originally published on Towards AI. Everything is on the internet Throughout everyone’s academic career, the most common explanations you will hear regarding the justification of every subject might be everything but practical. To question the existence of Mathematics in …
K-Means vs. Affinity Propagation Clustering
Author(s): Michelangiolo Mazzeschi Originally published on Towards AI. Finding Clusters Clustering is one of the simplest algorithms to implement with any Machine Learning tools. There are two different sets of algorithms dedicated to Clustering, depending on if we use Numerical Data (K-Means …
Main Types of Neural Networks and Their Applications — Tutorial
Author(s): Towards AI Editorial Team Originally published on Towards AI. A tutorial on the main types of neural networks and their applications to real-world challenges. Figure 1: Main types of neural networks, designed with app.diagrams.net, diagram is a derivative from Creative Commons …
NLP News Cypher | 07.12.20
Author(s): Ricky Costa Originally published on Towards AI. Photo by Laura Colquitt on Unsplash NATURAL LANGUAGE PROCESSING (NLP) WEEKLY NEWSLETTER NLP News Cypher U+007C 07.12.20 Negative Ghost Rider, the Pattern is Full Let’s get our James Bond swag on shall we? U+1F575️U+2640️ …
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