Visualizing New York City WiFi Access with K-Means Clustering
Visualization has become a key application of data science in the telecommunications industry. Specifically, telecommunication analysis is highly dependent on the use of ...
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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 ...
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...
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...
8 Most-Used Data Science and Machine Learning Services for 2020
In the era of the Internet, the ability to crunch large amounts of data and process it with speed and efficiency has become essential for businesses to survive. But you t...
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...
Fitting Human IQ into AI – Where and When It's a Win-Win
There is much talk of AI automation of many critical business processes over the next decade as the technology matures. Management and workers throughout organizations ar...
5 meaningful ways to improve the adoption of data science in your organization
Overview: This post is about improving the effectiveness of the data science team and improving collaboration between data scientists and stakeholders for better outcomes...