Machine Learning Demystified

During the training, we will introduce several machine learning methods. We start with an overview of the most popular methods and show some use cases of each. We explain machine learning performance and quality metrics to be able to measure if our method is good or not. In the next sections, we go through the different implementation of the most popular shallow methods. All methods are developed with Python and numpy. It makes it easier to understand how the methods work under the hood.

MEHR LESEN
Duration: 1 day
Level: beginner

Machine Learning Demystified

0
PLN NET
Nearest term:
- ,  2019 Katowice

Group Discounts:

1+2 friends
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0.00PLN   30% off
1+1 friend
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0.00PLN   20% off
Individual measure - Kontaktiere uns

    • Prerequisites

      • Basic Knowledge of Python or any other programming language
      • Familiarity with basic Machine Learning concept

    • Outcomes

      • Get familiar with several Machine Learning methods
      • Able to choose the right Machine Learning methods

    • Agenda

      • Machine learning taxonomy
      • Tools overview
      • Quality in machine learning
      • Clustering methods
      • Linear supervised methods
      • Decision trees
      • Combined classifiers

Trainer

Trainer image

Karol Przystalski

CTO Codete, O'Reilly Trainer, Elsevier Reviewer

Obtained a PhD degree in Computer Science in 2015 at the Jagiellonian University in Cracow. CTO and founder of Codete. Leading and mentoring teams of Codete. Working with Fortune500 companies on data science projects. Built a research lab that is working on machine learning methods and big data solutions in Codete. Give speeches and trainings in German and English in data science with a focus on applied machine learning. Currently involved in trainings at O’Reilly.

Workshop Schedule

- ,  2019
Katowice
- ,  2019
Kraków
- ,  2019
Wrocław
- ,  2019
Warszawa

Kontakt

CONTACT PERSONS

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Olga Sroka

Workshop Advisor

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Maciej Szczepański

Workshop Advisor

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