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 …
Over The Rainbow
Author(s): Abby Seneor What are the differences between equality, equity and justice? A dive into human biases and the dark side of Artificial Intelligence. Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Getting Started with Spatial Data Science
Author(s): Aboze Brain John Jnr We are not lost, we are locationally challenged — John M. Ford 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 …
Fermat’s Last Theorem
Author(s): Marco Tavora Ph.D. A Simple Proof of a Special Case Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Using Tesseract-OCR for Text Recognition with Google Colab
Author(s): Michelangiolo Mazzeschi Installing Tesseract on Google Colab and trying it out Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
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 Geometric Median
Author(s): Andrei Gasparovici Applying optimization to a geometry problem Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
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 …
The Real Reason to Study Mathematics
Author(s): Michelangiolo Mazzeschi I am a practical person, let me give you my answer Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Understanding the Universal Approximation Theorem
Author(s): Shiva Sankeerth Reddy Photo by Jeremy Thomas on Unsplash Let us take some time to understand the importance of Neural Networks Neural networks are one of the most beautiful programming paradigms ever invented. In the conventional approach to programming, we tell the computer …
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