Maps of the world are a perfect example of how difficult it is to prevent bias creeping into your modeling. People always have a perspective. And it's difficult to eliminate or compensate for it. Vox have a great video that discusses the difficulty of producing an accurate map of the world. It starts with the presenter slicing up an inflatable globe and trying to spread it out across the … [Read more...]
Highwaynet
There are a lot of advantages to storing your big data in the cloud. Start-ups can get going without having to set up servers and data centers. However, what about organizations that already have data centers? How do you move petabytes of valuable data to a cloud provider? You rarely see much coverage of this---because it's a difficult problem. There are no clever technical solutions. Amazon's … [Read more...]
Amazon AI
Amazon is the latest company to offer developers access to AI services. There are four available. Amazon Lex---Build conversational interfaces using voice and text, powered by the same deep learning technologies as Alexa Amazon Rekognition---Deep learning-based image recognition Amazon Polly---Turn text into lifelike speech using deep learning Amazon Machine Learning---A scalable machine … [Read more...]
Supporting data users
A critical, but overlooked, area of data science is linking analytics to action. Decision-makers must Understand the information being presented to them Have confidence in the analysis Be able to place information in the context of the decisions they are required to take Understand how to apply the information to make better, more informed, decisions Too much focus has been placed on the needs … [Read more...]
Free course on analyzing big data with Microsoft R Server
Microsoft R Server is one of the leading options if you need to analyse big data using R. To get you started EdX have a new (and free) course---Analyzing Big Data with Microsoft R Server. It covers using the RevoScaleR package to build models and deploying them to Spark and SQL Server. … [Read more...]