Skip to content

lectures for Management and Analysis of Physics Datasets course Msc in Physic of Data @ University of Padua 2018-2019

Notifications You must be signed in to change notification settings

sirCamp/lectures

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

28 Commits
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

#Management and Analysis of Physics Datasets @UniPD Role: Teaching Assistant Lectures for laboratorory of Management and Analysis of Physics Datasets course of Msc in Physic of Data @UniPD 2018-2019

Lecture 1

  • Slides on Dask and and Clsuter / HPC
  • Principles of distribute calculos with Dask
  • Principle of parallel calculos with Dask
  • Homework 1
  • Example of distributed Cross validation with Keras
  • Solutions

Lecture 2

  • Slides on Dask and and Clsuter / HPC
  • Distribute calculos with Dask
  • Parallel calculos with Dask
  • Example of distributed Cross validation with Keras
  • Solutions
  • Example of distributed ML

Lecture 3

  • Distributed dataset
  • Distributed remote dataset
  • CSV vs H5 dataset
  • Dask Dataframe
  • Concepts of map reduces
  • Homework 2

Lecture 4 / 5

  • Eample of Simple map reduce
  • Distributed Machine learning
  • Incremental learning
  • Parallel Post fit
  • Distributed Tesnforflow and Keras over CPU/GPU cluster
  • Solutions
  • Ditributed regression

About

lectures for Management and Analysis of Physics Datasets course Msc in Physic of Data @ University of Padua 2018-2019

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published