This week we’re going to really show off how easy it is to “roll our own” algorithms in Apache Mahout by looking at Eigenfaces. This algorithm is really easy and fun in Mahout because Mahout …
-
-
Deep Magic, Volume 3: Eigenfaces
-
Getting to Know Your Friends with Apache Streams
In out last adventure we got did a basic example of Apache Streams with Twitter data. This week we’re going to extend that example with Facebook data! Also note, if this seems a little light …
-
Dipping Your Toes in Apache Streams
Apache Streams is a utility for easily interacting with an ever growing galaxy of social media APIs, collecting data into a common format, and persisting to file or DB. This post is the first of many to explore this exciting project.
-
Deep Magic Volume2: Absurdly Large OLS with Apache Mahout
In this post we’re going to really show off the coolest (imho) use-case of Apache Mahout – roll your own distributed algorithms. All of these posts are meant for you to follow-along at home, and …
-
Big Data for n00bs: My first streaming Flink program (twitter)
Fishing for tweet with Flink
-
Big Data for n00bs: Gelly on Apache Flink
Big Data for n00bs: is a series I am working on of absolute simplest working examples for people just getting started in Big Data. In this post we Explore 'Gelly' the graph processing library of Apache Flink.
-
Deep Magic Volume 1: Visualizing Apache Mahout in R via Apache Zeppelin (incubating)
I was at Apache Big Data last week and got to talking to some of the good folks at the Apache Mahout project. For those who aren’t familiar, Apache Mahout is a rich Machine Learning …
-
Why Flink is going to upend the Digital Advertising industry in 5 minutes.
So, I was on a call for the November i-Com Data Science Board meeting Thursday morning. There were supposed to be 5 minute presentations with discussions on a few topics, however a couple of the …
-
How to get paid a gagillion dollars building crazy big data stuff on nights and weekends.
[407] - Excerpt not found. C'mon, it's a gagillion dollars and you've clicked through to more obvious scamster websites before. Also I don't have any obnoxious ads, sneaky trackers or beacons, etc. I don't even care if you read this thing. I'm trying to help you out.
