Machine Learning (ML) is a multidisciplinary field
with a growing number of applications in different fields

This summer school will provide the participants the basic background about ML and how to apply to different domains


This event is organized by

Technical Committe

  • {{ keynote.name }}

    {{ keynote.job }}

What You Will Learn

Professional track

For informatics, or related professionals with interest in understanding the machine learning basics and its application in data science applications and business real world scenearios.

See details

See fewer details

DESCRIPTION MODULE

For informatics, or related professionals with interest in understanding the machine learning basics and its application in data science applications and business real world scenearios.

  • DAY 1 — Math for ML
    23th July, 15:10 hrs - 19:00 hrs

    Linear algebra and multivariable calculus.

  • DAY 2 — Probabilities for ML
    24th July, 13:00 hrs - 19:00 hrs

    Introduction to Probability Theory and Regression.

  • DAY 3 — Introduction to ML
    25th July, 13:00 hrs - 19:00 hrs

    Supervised and unsupervised ML algorithms.

  • DAY 4 — Data science
    26th July, 13:00 hrs - 19:00 hrs

    Introduction to data science.

Student track

For academics interested in learning the machine learning basics, and its applications in biometrics and biomedic imaging applications.

See details

See fewer details

DESCRIPTION MODULE STUDENTS

For academics interested in learning the machine learning basics, and its applications in biometrics and biomedic imaging applications.

  • DAY 1 — Math for ML
    23th July, 15:10 hrs - 19:00 hrs

    Linear algebra and multivariable calculus.

  • DAY 2 — Probabilities for ML
    24th July, 13:00 hrs - 19:00 hrs

    Introduction to Probability Theory and Regression

  • DAY 3 — Introduction to ML
    25th July, 13:00 hrs - 19:00 hrs

    Supervised and unsupervised ML algorithms

  • DAY 4 — ML for biomedical imaging
    26th July, 13:00 hrs - 19:00 hrs

    An introduction to biomedical image processing using ML

  • DAY 5 — ML for biometrics
    27th July, 13:00 hrs - 19:00 hrs

    An introduction to biomedical image processing using ML

Location

National Center for High Technology

(CENAT)

Prerequisites and Requirements


Python programming, calculus and basic probabilities knowledge.

This summer school is intended for professionals with background in computer science, programming, statistics, math or any engineering related field who want to know more about the Machine Learning know-how.

English communication skills.

What do I get?


  • TEC branded participation certificate

  • Course Resources

Tickets



Professional              

Available until 16 July 2018 23:59

450 USD

Professionals
(One day ticket, 25th July)

Available until 16 July 2018 23:59

199 USD

TEC academics and students

Available until 11 July 2018 23:59

20 USD

Organizing Committe

{{ organizer.name }} {{ organizer.position }}