Following blogpost is aiming towards the healthcare industry, with the objective to enlighten how machine learning can automate processes, and thereby reduce workload for nurses and doctors. A case will be shown on predicting whether a given tumor in the breast is malignant or benign, but could as well be a picture from a X-ray detecting whether a bone is broken or not.
The following blogpost is a continuation of Showdown of artificial neural networks and support vector machines where we validated the quality of red wine, with a neural network and support vector machine. This time, we will show what efforts go into making a support vector machine model production ready!
Which model performs best on detecting the quality of red wine; Artificial Neural Network or Support Vector Machine?