Examples of machine learning applications that are designed to solve complex business challenges.
Examples of machine learning applications that are designed to solve complex business challenges.
Turing's imitation game considers the question of whether an artificial intelligence agent is truly intelligent. Alan Turing proposed this to test the computing power of artificial general intelligence.
Artificial neural network regression and classification problems are usually solved using supervised machine learning.
Machine learning algorithms see patterns in the data without being explicitly programmed. ML is a subset of artificial intelligence and also uses concepts from data science.
The General Problem Solver In a previous post entitled "Playing the Imitation Game," I discussed Alan Turing's vision, published in 1936, of a single, universal machine that could be programmed to solve any particular problem. In 1959, Allen Newell and Herbert A. Simon took a different approach. Their goal was to develop a computer program […]
When you start your neural network you want to assign random neural network weights to each node in the network.