Getting through Deep Learning – Tensorflow intro (part 3)

This post is part of a tutorial series: Getting through Deep Learning – CNNs (part 1) Getting through Deep Learning – TensorFlow intro (part 2) Getting through Deep Learning – TensorFlow intro (part 3) Alright, lets move on to more interesting stuff: linear regression. Since the main focus in TensorFlow, and given the abundancy of … More Getting through Deep Learning – Tensorflow intro (part 3)

Getting through Deep Learning – Tensorflow intro (part 2)

Yes, I kind of jumped the guns on my initial post on Deep Learning straight into CNNs. For me this learning path works the best, as I dive straight into the fun part, and eventually stumble upon the fact that maybe I’m not that good of a swimmer, and it might be good to practice … More Getting through Deep Learning – Tensorflow intro (part 2)

Getting Started with Spark (part 3) – UDFs & Window functions

This post attempts to continue the previous introductory series “Getting started with Spark in Python” with the topics UDFs and Window Functions. Unfortunately it stayed marinating in my Word press for quite a while (was already more less 70% complete) and only now had the opportunity to complete it. Note: For this post I’m using Spark 1.6.1. … More Getting Started with Spark (part 3) – UDFs & Window functions

Getting through Deep Learning – CNNs (part 1)

The number of available open source libraries making Deep learning easier to use is spreading fast as hype continuous to build. However, without understanding the background principles, it just feels like poking around a black box. In this post (or several, most likely) will try to give an introduction to Convolution Neural Networks (CNNs). Note … More Getting through Deep Learning – CNNs (part 1)

Spark 2.0: From quasi to proper-streaming?

This post attempts to follow the relatively recent new Spark release – Spark 2.0 – and understand the differences regarding Streaming applications. Why is streaming in particular?, you may ask. Well, Streaming is the ideal scenario most companies would like to use, and the competition landscape is definitely heating up, specially with Apache Flink and … More Spark 2.0: From quasi to proper-streaming?