Course Outline

Introduction

  • Overview of Machine Learning (ML) and Deep Learning (DL) concepts
  • Future industry evolutions with ML and DL

Business Strategy with Deep Learning

  • Defining business problems
  • Data-driven decision making
  • Analytical thinking and mindset
  • Business strategy modeling
  • Case studies and examples

Deep Learning Software and Tools

  • Python and Pandas fundamentals
  • DL open source tools (TensorFlow, CNTK, Torch, Keras, etc.)
  • Use cases and examples

Deep Learning with Neural Networks

  • Neural Network Learning (Backpropagation)
  • Convolutional Neural Network (CNN)
  • Recurrent Neural Network (RNN)
  • DL modeling examples

Summary and Next Steps

Requirements

  • An understanding of machine learning concepts
  • Python programming experience

Audience

  • Business analysts
  • Data scientists
  • Developers
 14 Hours

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