Summary: There are several approaches to reducing the cost of training data for AI, one of which is to get it for free. Here are some excellent sources.
Added by William Vorhies on October 2, 2018 at 7:23am — No Comments
Summary: As advanced analytics and data science have matured into must-have skills, data science groups within large companies have themselves become much larger. This has led to some unique problems and solutions that you’ll want to consider as your own DS group grows larger.
I had a new talk presented at "Codemotion Amsterdam 2018" this week. I discussed the relation of Apache Kafka and Machine Learning to build a Machine Learning infrastructure for extreme scale.
Long version of the title:
"Deep Learning at Extreme Scale (in the Cloud) with the Apache Kafka Open Source Ecosystem - How to Build a Machine Learning Infrastructure with Kafka, Connect, Streams, KSQL, etc."
As always, I want to share the slide deck. The talk was…Continue
Added by Kai Waehner on May 8, 2018 at 9:30pm — No Comments
Summary: Deep Learning, based on deep neural nets is launching a thousand ventures but leaving tens of thousands behind. Transfer Learning (TL), a method of reusing previously trained deep neural nets promises to make these applications available to everyone, even those with very little labeled data.
Added by William Vorhies on April 17, 2018 at 12:25pm — No Comments
Summary: There are several things holding back our use of deep learning methods and chief among them is that they are complicated and hard. Now there are three platforms that offer Automated Deep Learning (ADL) so simple that almost anyone can do it.
Machine Learning is being applied to almost everything these days, and the results are immaculate. With the introduction of Machine Learning APIs, developers don't have to train their own Machine Learning Algorithms, rather they can use these Machine Learning API's to create most interesting applications.
Recently, I red an article in which Ben Hubl applied Microsoft Cognitive Service Emotions API to do emotions analysis of video of Hillary and Trumps last debate. I was amazed to see…Continue
Added by Michael Walker on September 3, 2013 at 9:31pm — No Comments