There are a lot of choices these days as to how to structure the environment you’ll use to do your analysis. Here are the main parts:
- Data Layer
- Data Preparation Layer
- Analysis Layer
- Presentation Layer
- Use Case Layer
Check out this article from Smart Data Collective about how to structure your big data analytics stack.
Airbnb has developed a machine learning algorithm to help its hosts improve pricing. Check out the article.
This example shows how to take a set of e-commerce product photos and break them down with principal components analysis. A handful of components can then be used to represent the image instead of thousands of pixels.
Check out this Forbes article and the list of the top 100 analytics startups of 2015
If you are running R on your laptop, you’ve probably encountered instances where you need to scale up. Check out how to run R on AWS.
R Bloggers highlights this function for identifying outliers in time series data sets.
Check out this article from ClickZ about how to staff an analytics team