Machine Learning and Deep Learning

Objectives

  • Describe machine learning concepts and create basic models using PyTorch, Keras, TensorFlow and Scikit-Learn

Machine Learning Libraries

  • What is ML? Explain all the important terminology - models, training, prediction, validation

  • Snapshot of the Python ecosystem for ML and how RHODS supports them

  • RHODS partner ecosystem for ML (no need for GE coverage of third parties)

  • GPU acceleration in RHODS for ML

  • The most popular Python libs for ML - Scikit, Keras, PyTorch, and TensorFlow

    • Why are they needed?

    • Use-cases they are used for

    • API Primitives - most commonly used modules

    • Most important algorithms for each library