Content generation with Machine Learning

Classical applications of Machine Learning typically involved classification, regression, clustering and anomaly detection. Nowadays, there are a lot of approaches of how to generate data which looks like if it was created by people. Conversational bots, text summarization and a lot of other problems created a family of Natural Language Generation, however, NLP is not the only area where we discovered such a necessity. During the course, we are going to cover text, signals and images generation with the most modern algorithms, like Generative Adversarial Networks.

MEHR LESEN
Duration: 2 days
Level: advanced

Content generation with Machine Learning

1800
PLN NET
Nearest term:
- ,  2019 Kraków

Group Discounts:

1+2 friends
1260.00PLN
1800.00PLN   30% off
1+1 friend
1440.00PLN
1800.00PLN   20% off
Individual measure - Kontaktiere uns

    • Prerequisites

      • Good knowledge of Python programming, including ML libraries like Tensorflow
      • Some experience in implementing Machine Learning solutions

    • Outcomes

      • Access to exclusive materials covering the scope of the workshops
      • Theoretical background of content generation for different data types
      • Familiarity with implementing generative models with open source tools

    • Agenda

      • Text summarization and generation methods
      • Generating signals with ML
      • An introduction to Generative Adversarial Networks (GAN)

Trainer

Trainer image

Kacper Łukawski

Data Science Lead

Kacper Łukawski is Data Engineer and Tech Lead at Codete. Currently involved in Big Data projects and internal research in the field of Machine Learning. An enthusiast of applying data science in various sectors.

Workshop Schedule

- ,  2019
Warszawa
- ,  2019
Lublin

Kontakt

CONTACT PERSONS

contact person

Olga Sroka

Workshop Advisor

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contact person

Maciej Szczepański

Workshop Advisor

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                  width=   maciej.szczepanski@codete.com

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