Me, Myself and Digital Twins
It’s hard to get into the world of the Internet of Things (IOT) without eventually talking about Digital Twins. I was first exposed to the concept of Digital Twins when...
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Accelerating Convolutional Neural Networks on Raspberry Pi
This article was written by Koustubh. Unless you have been living under the rock, you must have heard of the revolution that deep learning and convolutional neural netw...
3 Free Data Science eBooks to Add to Your Summer Reading List
If you’re a regular visitor to our website you’ll know that every month we scour the internet seeking out free eBooks to help you on your educational journey....
Great Sunday Reading and Upcoming DSC Webinars
Great Saturday reading: our selection of articles and resources featured today: Learn Python in 3 days : Step by Step Guide Creating Your First Machine Learning Classif...
Learn Python in 3 days : Step by Step Guide
This article is no longer available. For new resources about learning Python, follow this link....
Analytic Profiles: Key to Data Monetization
Many organizations are associating data monetization with selling their data. But selling data is not a trivial task, especially for organizations whose primary business ...
Loan Prediction – Using PCA and Naive Bayes Classification with R
Overview Nowadays, there are numerous risks related to bank loans both for the banks and the borrowers getting the loans. The risk analysis about bank loans needs underst...
Call Detail Record Analysis – K-means Clustering with R
Overview Call Detail Record (CDR) is the information captured by the telecom companies during Call, SMS, and Internet activity of a customer. This information provides gr...
New Trends in Artificial Intelligence & Machine Learning
This article was written by Hardik Gohil, Sr Content Writer. Artificial Intelligence has effectively convinced its necessity to the entire world by performing excellen...
A curated list of resources dedicated to bayesian deep learning
This article comes from GitHub. A curated list of resources dedicated to bayesian deep learning. 2013: Deep gaussian processes|Andreas C. Damianou,Neil D. Lawrence|2013 &...