2023-05-04 AI Training Series - Intel AI Workshop - Accelerated Machine Learning with Intel (hdta7s23)

CourseTraining Series - Intel AI Workshop - Accelerated Machine Learning with Intel
Numberhdta7s23
Available places85
Date04.05.2023 – 04.05.2023
Price€ 0.00
LocationONLINE
Room
Registration deadline03.05.2023 11:59
E-maileducation@lrz.de


ATTENTION: Due to low demand of on-site participation this course will be organised as a pure online event!

Contents

The workshop will center on classical Machine Learning, examining both its historical and present states and comparing it to Deep Learning to identify use cases where it excels. Participants will learn how to optimise their classical ML algorithm performance using popular classical Machine Learning libraries like Scikit-learn, Pandas, and Xgboost.

The first part will focus on:

  • A short history of AI
  • Current status of Machine Learning and Deep Learning
  • Classical Machine Learning typical use cases
  • Overview of Hardware and Software by Intel

The second part will focus on Intel optimisation of classical Machine Learning libraries:

  • Intel Distribution of Python
  • Intel Distribution of Modin
  • Intel optimisations for Xgboost
  • Intel Extension for scikit-learn

Prerequisites

  • Basic knowledge of Python
  • AI Training Series: Orientation Session (or comparable previous knowledge)

Hands-On

There will be only demos.

Language

English

Lecturers

Intel AI experts

Prices and Eligibility

The course is open and free of charge for academic participants from Germany.

Registration

Please register with your official e-mail address to prove your affiliation.

Withdrawal Policy

See Withdrawal

Legal Notices

For registration for LRZ courses and workshops we use the service edoobox from Etzensperger Informatik AG (www.edoobox.com). Etzensperger Informatik AG acts as processor and we have concluded a Data Processing Agreement with them.

See Legal Notices


No.

Date

Time

Leader

Location

Room

Description

104.05.202310:00 – 12:30Johannes Albert-von der GönnaONLINE
Lecture