Using Clustering for Customer Segmentation Clustering is a useful unsupervised method of machine learning, especially for identifying customer segments. Before, it was necessary to manually examine the qualities of your customers and make assumptions to…
Marketing and IT Sittin' in a Tree F-I-N-D-I-N-G [great customer insights] The two worlds of IT and marketing are changing rapidly, both experiencing technological advances at never-before-seen rates. IT is tasked with orchestrating exponentially…
Machine Learning and Flip Phones Doing data analytics in Excel is like tweeting from your flip phone. It's time to move on. It was January 2007. I had just started my last semester of high…
In this post I will discuss some important points of TensorFlow; namely what is it, how it works, and how easily it can be used in production environments with Keras and eager processing. Enterprises that…
“Machine learning” has been a buzzword for a while now, and studies continue to affirm the substance behind the hype. Even the most traditional of businesses are now rushing to adopt machine learning into their…
At the start of summer, I was told I'd be working on a machine learning project for the length of my internship. I was a little nervous, as I only had the knowledge that I…
This summer, I had the opportunity to intern with Zirous, researching and building a project for machine learning. After finishing my first year of college at Iowa State University and majoring in mathematics and data…
Utilizing Apache tools Spark, Livy, and Zeppelin, together, can be very powerful in helping to tackle machine learning and data science.