As a teacher of Data Science (Data Science for Internet of Things course at the University of Oxford), I am always fascinated in cross connection between concepts. I no...
If Data Science was once the sole domain of analysts and data scientists, Augmented Data Science represents the democratized view of this domain. With Augmented Data Scie...
Thanks to evolving technology, retail marketers nowadays have access to wide range of data and analytics tools, which is making everyone’s life easier. It gives busines...
I was comparing home prices in San Francisco between 1994 and 2018, and I noticed that it has increased by a factor 4 over 25 years. In the meanwhile, the inflation index...
Trends to Watch Out For and Prepare Yourself Ok. So there’s been a lot of coverage by various websites, data science gurus, and AI experts about what 2019 holds in stor...
“Information is the oil of 21st century and analytics is the combustion engine” ~ Gartner Big data is the new oil and there’s no denying to this fact. In certain ...
Introduction Deep Neural Networks are highly expressive machine learning networks that have been around for many decades. In 2012, with gains in computing power and impro...
This article was written by Sondos Atwi. In Machine Learning, Cross-validation is a resampling method used for model evaluation to avoid testing a model on the same dat...
This is an unusual application of AI, it is not fiction, and it works! It started probably more than 30 years ago. Sometimes referred to as symbolic mathematics, and usua...
Throughout 2018, we conducted an online survey of Data Science professionals across Europe. This has led to a fantastic response, garnering over 800 participants from stu...