A previous post compared working with data to a digestive system. At BigML we think that the Big Data technology in Ingestion and Digestion (capturing data and processing data) is hyped at the expense of Absorption and Assimilation (creating new insights and putting them to action). Aquiring a new tool, installing it on your hardware and learning…

Big Data holds a big promise. But has that promise paid out already? Or are you heading for Big Dollar Disaster? Many take inventory of their data and find out they have terabytes of data lying around. Surely something should be done with that, so here’s how we see a lot of companies going about implementing ‘something’ for their Big Data.

• Buy hardware, set up a cluster and install some flavor of Hadoop.

• Break their brains to figure out how to run map-reduce…

The Voice is a very successful show that runs in 28 countries around the globe. The basic concept in each version is the same: Four famous singers act as coaches. They have to select a team of vocalists through an audition process. The teams compete internally through a process of competitive elimination, until one vocalist per coach enters the Finals. There, the best vocalist of the four is declared 'The…

There are various offerings out there if you want to use machine learning in your analysis nowadays. Nick WIlson spent his internship at BigML comparing three SaaS Machine Learning Services (BigML, Prior Knowledge and Google Prediction API), with WEKA as a  benchmark. He wrote a series of blog posts about his findings. In his final post he gives a summary of his work, with links to the different blog posts for details. He let me re-blog his summary here.

"Part 1 -…