Tools-and-techniques

August 19, 2017

Today's blog post is a hands-on demo and evaluation of the Google Cloud Natural Language API. Like all cherry picked examples/demos, their site shows an impressive result in the system's ability to do entity identification, sentiment analysis, and extract syntax. How will the results be on a real world data... View More >

June 12, 2017

This episode features discussion of database as a service, database migration, threat detection, R/python in SQL Server, and use ca... View More >

January 26, 2017

I believe we're going to see a continued trend towards commoditization of certain data science services. The classic example is spam filtering, but even more potential could come out of areas like computer vision and text analytics. The field and therefore the marketplace are evolving quickly, so every so often I like to run a few tests to see where certain services stand in their developm... View More >

January 11, 2017

I've been working on a project recently for which I hope to leverage some 3rd party APIs to do some basic image recognition ta... View More >

December 30, 2016

In the latest episode of Data Skeptic, I talk through a fictitious problem of predicting whether or not a library book will be returned on time or not. After hitting Publish, it occured to me that I should see if there is any actual data about the library in the LA Open Data por... View More >

December 14, 2016

This is part two in a series. If you haven't already read React.js for data visualization, part 1, consider starting th... View More >

December 13, 2016

I try to never take for granted that my background, like all our backgrounds, is unique. Two data scientists can easily find they have nothingin common. For me, this is an opportunity to help others bridge the various gaps between the knowledge they currently have and what's within arm's re... View More >