Machine Learning Steps
Machine learning is a computers ability to learn and act without the need for programming. Machine learning tries to encode the process of human decision making. More ...
Limitations of Logic - The Search Space Problem
In the search for an artificial intelligence proof there are almost always many possibilities for the application of inference rules at every step. The result is the aforementioned explosive growth of the search space. More ...
An Introduction to Audio Pocessing and Machine Learning Using Python
The pyAudioProcessing library is a Python based library for processing audio data into features (GFCC, MFCC, spectral, chroma) and building Machine Learning models. More ...
Artificial Intelligence - Decidability and Incompleteness
There are limitations to the capabilities of artificial intelligence. If we compare automated provers or inference systems with mathematicians or human experts, we find that mathematicians can prove theorems which are far out of reach for automated provers. More ...
Introduction to Neural Networks
A neural network is a method in artificial intelligence that teaches computers to process data in a way that is inspired by the human brain. More ...
How to get started in AI
Artificial intelligence is intelligence demonstrated by machines, as opposed to humans. Before you can begin working in artificial intelligence, you need to acquire some human intelligence. More ...
Artificial Intelligence and Propositional Logic
In propositional logic, as the name suggests, propositions are connected by logical operators. A proposition is a statement or assertion. This article provides a definition of the set of all propositional logic formulas. More ...
Knowledge Based Artificial Intelligence Systems
For complex Artificial Intelligence applications which rely on a large amount of information, programming the agent can be very costly and unclear how to proceed. Here AI provides a clear path to follow that will greatly simplify the work. More ...
