P Value vs Critical Value
P-values and critical values are so similar that they are often confused. They both do the same thing: enable you to support or reject the null hypothesis in a test. But ...
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Blockdrop to Accelerate Neural Network training by IBM Research
Scaling AI with Dynamic Inference Paths in Neural Networks Introduction IBM Research, with the help of the University of Texas Austin and the University of Maryland, has ...
The Convoluted World of Supervised vs Unsupervised Learning
Table of contents: What is Deep Learning? Supervised DL: The KISS Pathway That Leads To The Expected Unsupervised Deep Learning: An Exploratory Journey To Figuring Out th...
Traditional vs Deep Learning Algorithms used in BlockChain in Retail Industry
Use of SecureSVM, Boosting, Bagging, Clustering, LSTM, CNN, GAN in Retail with BlockChain Introduction This blog highlights different ML algorithms used in blockchain tra...
How AI Is Taking On COVID-19?
Coronavirus pandemic is stretching the healthcare operational resources to an immense extent. During such a brief duration of time, COVID—19 has become one of the bi...
Statistical Distributions in One Picture
I can’t find anymore where this chart, featuring relations between distributions, was first published. I remember seeing it on the Cloudera blog. Another shorter on...
Supply Chain Analytics Need to Be Smarter
Mike Romeri, CEO Analytics2Go During the current COVID-19 pandemic, virtually all companies have faced significant changes in demand. Some companies have seen significa...
6 Steps to Get the Best Out of Your RPA Implementation
Over the last couple of years, there has been a lot of hype around robotic process automation. This makes a lot of sense if you consider that in 2018 Gartner was already ...
Learn Blockchain to Gain A Rewarding Career
Blockchain technology is the talk of the techno-world. The technology is booming at a faster rate and is promising for almost all industries as it conforms trust relation...
How to approach the study of algorithms?
I have been reading a book recently about algorithms in the wider sense (40 algorithms every programmer should know -book and github link below) I spend a lot of time ...