When we talk about innovative services or products, many startups follow a smoother model of development. This allows them to minimize the risk to be able to have improv...
Introduction According to Deloitte: by the “end of 2016 more than 80 of the world’s 100 largest enterprise software companies by revenues will have integrated cogniti...
The 7 Myths of AI By Robin Bordoli If you’re a business executive (rather than a data scientist or machine learning expert), you’ve probably been exposed to the mains...
We’re obviously in an age of unprecedented access to customer insights and information, but that doesn’t necessarily mean it’s easy to gather and leverage data. Bus...
In this latest Data Science Central webinar we will showcase the new Statistica features around Edge Scoring for IoT analytics and Native Distributed Analytics Architectu...
R vs Python. Which language should you choose? R is great for mathematical people. Think of R as spreadsheets on steroids. A lot of people progress from spreadsheets to ...
Arthur C. Clarke famously stated that “any sufficiently advanced technology is indistinguishable from magic.” No current technology embodies this statement more than ...
This reference is a part of a new series of DSC articles, offering selected tutorials on subjects such as deep learning, machine learning, data science, deep data science...
Summary: What comes next after Deep Learning? How do we get to Artificial General Intelligence? Adversarial Machine Learning is an emerging space that points to tha...
We are in the process of writing and adding new material (compact eBooks) exclusively available to our members, and written in simple English, by world leading experts in AI, data science, and machine learning.