AI asistant

[L0rd_M@dness]

ANNs do not change their source code and whereas they are good for speech recognition in this case I don't think they are suitable for the rest and they are definitely not the general purpose tool for machine learning.

They don't change their source code, but they DO change their behavior, as if they're changing the source, since source code defines the behavior.
Machine learning is highly dependent on ANNs currently for they're the most known algorithms for developing a machine learning behavior. I'm open to other suggestions tho.

[Deque]

Machine learning is highly dependent on ANNs currently for they're the most known algorithms for developing a machine learning behavior. I'm open to other suggestions tho.

Just google and you find plenty of other concepts that are widely used and known.
This is just the tip of the iceberg: https://en.wikipedia.org/wiki/List_of_machine_learning_algorithms

Edit: Maybe I am blind, but I miss the genetic algorithms in this list.

[L0rd_M@dness]

Just google and you find plenty of other concepts that are widely used and known.
This is just the tip of the iceberg: https://en.wikipedia.org/wiki/List_of_machine_learning_algorithms

Edit: Maybe I am blind, but I miss the genetic algorithms in this list.

yes genetic algorithms are categorized under another field, so-called "DNA computing" (If I'm not mistaken)
I also found a book regarding this subject, called Machine Learning for Hackers, a quick look and I found Statistics as the main subject, and R language as the main tool being used, which is unlikely, in my point of view.
I'm used to using MATLAB for these purposes... I don't know maybe I should change the tools I use?

[Deque]

yes genetic algorithms are categorized under another field, so-called "DNA computing" (If I'm not mistaken)

No, they are not. DNA computing actually uses DNA to perform operations like splitting DNA strings, merging them and so on. It is not really something you can use, unless you have a laboratory. And it is not an algorithm, it is a kind of computer architecture.

Genetic algorithms on the other hand you can implement with every programming language you like. The algorithms mimic evolution, which is especially useful if you have to optimize something, that can't be done in the usual ways. You won't find an optimum with this approach, but you can get a good solution that is close.

I also found a book regarding this subject, called Machine Learning for Hackers, a quick look and I found Statistics as the main subject, and R language as the main tool being used, which is unlikely, in my point of view.
I'm used to using MATLAB for these purposes... I don't know maybe I should change the tools I use?

What exactly is it you want to do?

[Jetra]

I have thought about this myself but not as a Secretary but as a programming partner. It would take lots of programming and a really advanced AI to start with so that while you are programming it can learn its own coding and therefor make it self more advanced when it learns something new. this is something that u can use to run a whole system by it self when your trying to run more then one computer the things it could do are endless.