Archive for November 2015 | Monthly archive page
If you haven’t heard of Yellowfin BI, it is a passionate startup focused on making Business Intelligence easy. Established in 2003, Yellowfin has been developed to satisfy a range of BI needs, from small businesses, to massive enterprise deployments and software vendors.
Yellowfin makes a Business Intelligence platform built ontop of Tomcat/Java that processes and presents information in refreshing detail. Its easy to assemble, and allows you to focus on building new business value rapidly. Yellowfin can be deployed on any server (cloud or on premise).
Yellowfin is the second Australian vendor to ever get in the Gartner Magic Quadrant.
Growing organically, it can barely be called a startup these days with >100 employees and offices in 4 different countries. Yellowfin is running a series of presentation of their technology in December. These are:Melbourne – 1 Dec Sydney – 2 Dec Auckland – 3 Dec
Register for the event today!
Google has announced the open source release of TensorFlow . This is their second-generation machine learning system building on work done in the DistBelief project. TensorFlow is general, flexible, portable, easy-to-use, and completely open source. TensorFlow is twice as fast as DistBelief.
To understand what is possible, Google’s internal deep learning infrastructure DistBelief, developed in 2011, has allowed Googlers to build ever larger neural networks and scale training to thousands of cores in our datacenters. It has been used to demonstrate that concepts like “cat”can be learned from unlabeled YouTube images, to improve speech recognition in the Google app by 25%, and to build image search in Google Photos. DistBelief also trained the Inception model that won Imagenet’s Large Scale Visual Recognition Challenge in 2014, and drove our experiments in automated image captioning as well as DeepDream.
While DistBelief was very successful, it had some limitations. It was narrowly targeted to neural networks, it was difficult to configure, and it was tightly coupled to Google’s internal infrastructure — making it nearly impossible to share research code externally.
Tensorflow is build on Python as is alot of Google infrastructure. You can download the libraries/package and run it within your own python applications. Get started today!