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”
Author Archives: Ben Lorica
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”
Issue #8: Deep Learning Platform, TinyML, Privacy ↔ Contact Tracing
This edition has 772 words which will take you about 4 minutes to read.
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”
Issue #7: Modeling Epidemics, the Future of AI, and Alternative History
This edition has 684 words which will take you about 4 minutes to read.
One simple chart: TensorFlow vs. PyTorch in job postings
In a post from last summer, I noted how rapidly PyTorch was gaining users in the machine learning research community. At that time PyTorch was growing 194% year-over-year (compared to a 23% growth rate for TensorFlow). That post used research papers, specifically simple full-text searches of papers posted on the popular e-print service arXiv.org.
Demystifying AI Infrastructure
As companies increase their investments in artificial intelligence (AI), there is growing pressure on developers and engineers to deploy AI projects more quickly and at greater scale across the enterprise.
Issue #6: Life on Lockdown, Next-gen Simulation Tools, and the Misinformation Apocalypse
This edition has 684 words which will take you about 4 minutes to read.
Enterprise Applications of Reinforcement Learning: Recommenders and Simulation Modeling
[This post originally appeared on the Anyscale blog.]
