Machine Learning as an API: easy ways to add intelligence to your web app by Sara Robinson
2,752 views · Published 17 May 2017 · 44:57 · Indexed 22 October 2026
Channel: Devoxx · 2017 · Science & Technology
Machine Learning has a lot of potential to make our apps smarter but all the theory and mathematics behind it is really hard! Thankfully, we can rely on trained models and public APIs to do some of the heavy lifting. In this session, we will take a look at some of these friendly Machine Learning APIs for image classification, speech recognition, text entity analysis to see how we can make our web apps smarter. Sara Robinson is a Developer Advocate on Google's Cloud Platform team, where she helps with developer relations through online content, outreach and events. She has a bachelor’s degree in Business and International Studies from Brandeis University. When she's not programming, she can be found running, listening to country music, or finding the best ice cream in San Francisco.
More from this channel
-
32:13
Writing Groovy AST Transformations: Getting Practical in an hour! by Baruch Sadogursky
-
25:58
TweetWallFX - Behind the Scenes by Sven Reimers
-
29:44
Second generation "workflow managers" for big data by Alex Van Boxel
-
29:13
Secrets are secrets. Please maintain them as secrets by Alex Soto
-
2:13:40
JavaScript build pipelines with Gulp.js by Stefan Baumgartner
-
2:04:09
Powerful Metaprogramming Techniques With Groovy by Jeff Brown
-
2:38:32
Distributed Machine Learning 101 using Apache Spark from a Browser by Xavier Tordoir/Andy Petrella
-
2:36:21
Caching 101: Caching on the JVM (and beyond) by Alex Snaps/Louis Jacomet