Category: Data Science
-
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).…
-
Notes from the second PyTorch Developer conference
I was able to catch the morning sessions of the PyTorch developer conference in San Francisco, and just like last year the event was well-organized and packed. The official blog post has details on the many announcements…
-
Machine learning for operational analytics and business intelligence
The O’Reilly Data Show Podcast: Peter Bailis on data management, ML benchmarks, and building next-gen tools for analysts. In this episode of the Data Show, I speak with Peter Bailis, founder and CEO of Sisu, a…
-
Machine learning and analytics for time series data
The O’Reilly Data Show Podcast: Arun Kejariwal and Ira Cohen on building large-scale, real-time solutions for anomaly detection and forecasting. In this episode of the Data Show, I speak with Arun Kejariwalof Facebook and Ira Cohenof…
-
How New Tools In Data And AI Are Being Used In Healthcare And Medicine
An overview of applications of new tools for overcoming silos, and for creating and sharing high-quality data. By Ben Lorica and Mike Loukides. [A version of this post appears on the O’Reilly Radar.] AI will have…
-
Labeling, transforming, and structuring training data sets for machine learning
The O’Reilly Data Show Podcast: Alex Ratner on how to build and manage training data with Snorkel. In this episode of the Data Show, I speak with Alex Ratner, project lead for Stanford’s Snorkel open source project;…
-
Make data science more useful
The O’Reilly Data Show Podcast: Cassie Kozyrkov on connecting data and AI to business. In this episode of the Data Show, I speak with Cassie Kozyrkov, technical director and chief decision scientist at Google Cloud. She…
-
You’ll want Nexar’s newly released Live Map for your city
Extracting and exposing valuable insights to enable smart cities and many other applications. I recently had the privilege of getting a preview of Nexar’s Live Map, from my friend, Nexar’s CTO and co-founder Bruno Fernandez-Ruiz. Nexar…
-
Managing machine learning in the enterprise: Lessons from banking and health care
A look at how guidelines from regulated industries can help shape your ML strategy. By Ben Lorica, Harish Doddi, David Talby. As companies use machine learning (ML) and AI technologies across a broader suite of products…
-
One simple chart: Who is interested in Spark NLP?
As we close in on its two-year anniversary, Spark NLP is proving itself a viable option for enterprise use. In July 2016, I broached the idea for an NLP library aimed at Apache Spark users to…