Using multiple machine learning algorithms together I'm kinda new to machine learning and wanted to know if we could use multiple machine learning algorithms, for example, SVM and backpropagation together to solve a particular problem.
You can train multiple machine learning models with same data and based on accuracy and confusion_matrix response you can decide which one to use.

In theory, you don't need to combine/merge two different ML Models (you can enhance your pre-processing) 
but if you still want to use different models there are two approaches:


Ensemble (available with three categories - a) Bagging b) Boosting c) Stacking
Hybrid (This approach allow users to create own models (or use existing) and combine them for better prediction)


Note: You need to be careful with individual algorithm response before combining them together :)