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 ...
Machine Learning vs Deep Learning: Here's What You Must Know
Artificial Intelligence (AI) and Machine Learning (ML) are two buzz words thrown around in everyday conversations today. More ...
An Introduction to Machine Learning Today
Machine learning and artificial intelligence (ML/AI) mean different things to different people. They are based on the idea that a program's output should be created mostly automatically from a high-dimensional and possibly huge dataset, with minimal or no intervention or guidance from a human. More ...
Artificial Intelligence Agents
In AI, agent denotes rather generally a system that processes information and produces an output from an input. These agents may be classified in many different ways. More ...
What Is Artificial Intelligence?
When trying to understand artificial intelligence the answer is that the intelligent machine that behaves like a person, showing intelligent behavior. More ...
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 ...
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 ...
