Question about ensembles of neural networks?

Question

Python

Greetings. 2 questions:
1) Please tell me books or some Internet resources to read about the ensemble of neural networks.
2) Is it possible to connect models that receive different types of data: text and numbers, for example.

Answer 1

I'll start with the second question. What do you mean by joining models with different data types?
If you mean that you supply different types of data as input, then the answer is this: if you can digitize your tests and then work with them and with numbers as with numbers, then you can. By the way, quite traditional machine learning algorithms such as trees and their derivatives are initially built so that they can process different types of data.
If you mean that you get the result of the models in the form of tests and numbers and want to build an ensemble out of them - then this is generally speaking a strange undertaking - but I think you can try using classic stacking. (again from machine learning)
Now the first question is books and resources. The best resource is Google where you can find everything. But a little help:
Books:
1. LUDMILA I. KUNCHEVA COMBINING PATTERN CLASSIFIERS
2. Oleg Okun and Giorgio Valentini. Supervised and Unsupervised Ensemble Methods and their Applications
3. Z.-H. Zhou Ensemble Methods Foundations and Algorithms
Online Sources. There are hundreds of them, for example:
1. https://towardsdatascience.com/a-guide-to-ensemble...
2. https://www.analyticsvidhya.com/blog/2021/08/ensem...
3. https ://towardsdatascience.com/practical-guide-to-...
4. https://machinelearningmastery.com/ensemble-learni...
5.https://towardsdatascience.com/ensemble-learning-s...
etc.
Good luck.