Here’s a post from KD Nuggets about how to build a demand forecast.
When talking about data science and big data, one topic often discusses is recommendation engines – collect some data and then recommend products, movies, music, etc. It’s also a common request from marketers to the data team. Read the article from Data Community DC about why you should not build a recommendation engine. It’s from a while ago but still very relevant.
Integrating predictive modeling and business intelligence zite.to/1wICjPR
Predictive Analytics Startup Framed Data Raises $2M To Help Developers Understand User Behavior zite.to/13djOpU
Predictive analytics player Infer raises $25 million zite.to/1upg4XO
Personalized Recommendations at Etsy zite.to/1unMmph
Paper on collaborative filtering at LinkedIn: ls13-www.cs.uni-dortmund.de/homepage/rsweb…
Alpine introduces its open framework for advanced analytics in enterprise called Alpine Chorus 5.0. Check out this article from Inside Big Data.
If you have seen the Netflix movie recommendations and wondered what it took to make it happen or maybe participated in the Netflix Prize, this Gigaom article discusses how Netflix spends $150 million on content recommendations every year.
Taming the Internet of Things – KNIME Case Study zite.to/ZslQ3s