​"Sometimes we need to see to feel."

A SanKey diagram shows the flows of data from one state to another. Customers, represented by data can be shown how they move from webpage to webpage or channel to products, the best outcomes of increased engagement or worst outcomes of drop or lost customer.

Purists will say machine learning starts with code and equations. Business leaders need to move fast and typically are highly visual. Rapidminer brings these camps together. For fast POCs(Proof of Concepts) Rapidminer lets you drag and drop Gradient Boosted Trees (a more robust and highly descriptive M/L) and it lets the programmers go behind the scenes to implement R or Python. 
Try it out! If you are in my class... its free! (Click Here)

Using Neural Networks, computers can "see", match complex patterns. As kids, we learn, we are handed shapes and are taught their name. Computers are being taught the same way.

This picture by Professor Andrew Ng, says it all. The colors on the door handle are simply numbers to the computer. Learning is hard, but with math, and decent processing power, its now possible.

Play around with Neural Net Vision here: 

Each cloud platform has its strengths. In these "early days" try them all! Each has a free trial, so you have everything to gain.

Check out this tensorflow playground! Great way to visualize how neural networks handle classification problems.

Try autodraw, the computer tries to guess what you are making, and when you select it, it comes out nice. Try drawing a pizza first!