Multiple numeric columns in data and even more techniques at hand to analyse the data, like histograms, ANOVA, mean/median, contingency tables, scatter plots, variance…...
(Photo credit: Rob Lavinsky, iRocks.com – CC-BY-SA-3.0) In 1945, Count ,Richard Taaffe* a Dublin gem collector, was sorting through a set of spinel gems that he had...
When I tell people that I work at an AI company, they often follow up with “So what kind of machine learning/deep learning do you do?” This isn’t surprising, as mos...
An Essential Reference for Intermediate and Advanced R Programmers Advanced R presents useful tools and techniques for attacking many types of R programming problems, he...
About the Textbook: Providing a broad but in-depth introduction to neural network and machine learning in a statistical framework, this book provides a single, comprehens...
A data scientist needs to be Critical and always on a lookout for something that misses others. So here is some advice that one can include in the day to day data science...
By Winnifred Louis, Associate Professor, Social Psychology, The University of Queensland, and Cassandra Chapman,PhD Candidate in Social Psychology, The University of Qu...
Interesting machine learning app posted on Vonvon. You need to log on using Facebook, and it automatically fetches your profile pictures, but you can also upload some pic...
Summary: Autonomous Vehicles (AVs) are supposed to be just around the corner but the anecdotal evidence is that their claims to safety are way out ahead of reality. T...
The Deep Learning textbook is a resource intended to help students and practitioners enter the field of machine learning in general and deep learning in particular. The o...