Machine Learning and Big Data

Table of Content

• Big Data Meet ML
  • What is ML
  • What is Big Data
  • For Big Data Analysis we need Machine Learning
  • For ML we need Big Data
  • ML for data analysis in physics and other sciences

• AI at Scale

• ML on Big Data
  • Big Data -> Big Opportunities
  • Big Data -> Big Challenges
  • Survey of Machine Learning for Big DataProcessing
• Distributed ML Training
  • Tools and Techniques for distributed Training
  • Data parallelism / Model parallelism
• Compute resources for ML
  • compute hardware for ML
  • local vs cloud
  • Why cloud
  • When (not) cloud
  • Cloud platform for ML
  • Notebook server ad Full server solution
  • Notebook: Colab, Gradient
  • Full serer: Google Cloud, Azure
• A Close look at Azure Machine Learning
  • Azure for student (with @unipg.it account)
  • Azure ML Platform
  • Azure ML Studio
  • Azure ML SDK
  • Training Workflow
  • ML Pipeline / ML OPS
  • Deploy