Azure Machine Learning Algorithm Flowchart
When you are working with Machine Learning there are many things you need to keep an eye on. You need to prepare the data, deal with any missing values and you need to select an algorithm you will be using for you model.
Choosing an algorithm can be a difficult one though. Azure Machine Learning alone has around 25 different algorithms, each one with its own pros and cons. To help out beginning Advanced Analytics and Azure Machine Learning users Dataheroes designed a flowchart to help you select an algorithm quick and easily!
The Azure Machine Learning Algorithm Flowchart guides you to an algorithm based on questions, just follow the green (positive answer) or red (negative answer) arrows! At every algorithm a rating is displayed for three properties: training time, accuracy and customization options. The more stars, the better the algorithm performs for that specific property. Almost every algorithm also has a short description text where pros and cons of the specific algorithm are described.
The Azure Machine Learning Algorithm Flowchart is available through the Dataheroes website in two languages, Dutch and English, and can be downloaded for free through the links below:
Azure Machine Learning Algorithme Flowchart – English: //bit.ly/2vHwVxs
Azure Machine Learning Algoritme Flowchart – Dutch: //bit.ly/2ugRode
Got any questions about the flowchart? Let me now!
11 comments to “Azure Machine Learning Algorithm Flowchart”
Dear ENRICO
I am a Machine Learning beginner. I am doing some projects about regression and very confused about how to select the most suitable algorithm.
I am very interested in your ” Azure Machine Learning Algorithm Flowchart “, but I can’t find the file through the links. Would you send me a new link? Thank you very much.
I don’t know whether it’s just me or if perhaps everyone else encountering issues with your site.
It appears as if some of the written text in your posts are
running off the screen. Can someone else please comment and let me know if
this is happening to them too? This could be a issue with my web
browser because I’ve had this happen previously.
Thanks
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