Machine Learning

Machine Learning

1. Experience

   • Applied to new situations
   • Maths and Statistics, Big Data

2. Supervised

   • Give AI a problem and compare it's solution to yours
   • Adjust algorithm accordingly

3. Unsupervised

   • No solution provided, just positive/negative reinforcements
   • Inspired by Evolution
   • N.E.A.T. Genetic Algorithm

4. Artificial Neural Network

   • Deep Learning
     • Back propagation
   • Artificial Brain Perceptron = Neuron
   • Connections between perceptrons have weights
   • Q Learning
     • Reinforcement Learning

Bilder und Dateien der Mindmap