Remove Confusion When Explaining Data Science

A short rant incoming… I’d like to petition against using the term “insights” to describe the result of data science and data analytics. The term insights leave people with an abstract view and force them to interpret its meaning. In addition, using this type of language further mystifies the field. Most non-technologists don’t enjoy conversations … Continue reading Remove Confusion When Explaining Data Science

AWS Innovate Online Conference Special Edition – Machine Learning

Amazon is offering a free online machine learning conference. The conference will discuss machine learning opportunities applied across industries, and technologies available for customers. Topics range from AI-assisted applications, guided Machine Learning, on-demand Deep Learning, and what these technologies mean for customers. Event details here: https://pages.awscloud.com/aws-innovate-ml.html   Continue reading AWS Innovate Online Conference Special Edition – Machine Learning

The Difference Between Machine Learning and Artificial Intelligence

Machine Learning Machine learning is the process where a machine learns from its experience. A machine learning program works by receiving data and learning patterns represented in the data. Example: A machine learning program that inputs historic housing data for the city of Washington, DC (learning) can predict the value of an additional home in Washington, DC, … Continue reading The Difference Between Machine Learning and Artificial Intelligence