Data Science

All knowledge is, in final analysis, history. All sciences are, in the abstract, mathematics. All judgements are, in their rationale, statistics. -- C. R. Rao.

Github Repo

• Course Information
  

Deep Learning is ubiquitous today across data-driven applications as diverse as machine vision, natural language processing, and super-human game-playing. This half-day workshop will introduce the fundamentals of the main types of deep learning models. You will also learn the motivation and use cases of deep learning through hands-on exercises using R and Python in the cloud environment. This workshop is designed for the audience with a statistics background. No software download or installation is needed, everything is done through an internet browser (Chrome or Firefox) in Databricks free cloud environment.

• Slides

Introduction
Feedforward Neural Network
Convolutional Neural Network
Recurrent Neural Networks

• Hands-on

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Feedforward neural network: R (Databricks), R (Local), Python (Colab)
Convolutional neural network: R (Databricks), R (Local), Python (Colab)
Recurrent neural network: R (Databricks), R (Local), Python (Colab)