# Artificial Intelligence (AI) ## Classification * AI * Machine learning * Neural network * Deep learning ### Machine learning ML algorithms leverage structured labeled data to make predictions. Usually dataset is supervised by human at input. Main difference with Deep Learning: * number of layers in neural network * whether or not human intervention is required to label data ### Neural network * composed of node layers * use a linear regression model - math model used to predict future events * data is passed between nodes feed forward * rely on training data * NN have multiple types * convolutional (good for image recognition) * long short-term memory network (good for speach recognition)

### Deep learning Neural network(NN) is considered a deep NN if it consists of more than three layers (including inout and out layer). DL doesn't necessarily require a labeled dataset. It can ingest unstructured data in its raw form like text and images.