One simple chart: Demand for Machine Learning Engineers

I started hearing the job role of “machine learning engineer” a few years ago. In mid 2017 we wrote a post describing the role that we were observing in a few companies mainly in the technology sector. At the time, companies were carving out a new role focused on making machine learning and data scienceContinue reading “One simple chart: Demand for Machine Learning Engineers”

One Simple Chart: Spark NLP goes international

About a year ago, I posted a chart that showed the geographic distribution of users of Spark NLP, an open source, natural language processing library built on top of Apache Spark. With the recent release of version 2.5, Spark NLP now provides support for 14 new languages (more languages than any other open-source library). IContinue reading “One Simple Chart: Spark NLP goes international”

One simple chart: online learning platforms

With most of us spending most of our time at home, I was curious to see how “shelter at home” orders translated to traffic to various online learning platforms. I looked at nine online learning platforms and on average, traffic jumped 62% from March to April 20201: Visits to Pluralsight surged in April (up 189%Continue reading “One simple chart: online learning platforms”

Understanding the Ray ecosystem and community

Ray is both a general purpose distributed computing platform and a collection of libraries targeted at machine learning and other workloads. By Ben Lorica and Ion Stoica. [This post originally appeared on the Anyscale blog.] Ray is usually described as a distributed computing platform that can be used to scale Python applications with minimal effort.Continue reading “Understanding the Ray ecosystem and community”