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.