Topic Modeling Open Source Tool
Author(s): Bamigbade Opeyemi A tool built with python and streamlit for topic modelling Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
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 …
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. …
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 …
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 …
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 …
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 …
Logistic Regression with Mathematics
Author(s): Gul Ershad Machine Learning, Mathematics Introduction Logistic Regression is an omnipresent and extensively used algorithm for classification. It is a classification model, very easy to use and its performance is superlative in linearly separable class. This is based on the probability …
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 …
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