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Nieliniowy

Michał Dulemba

Podcast Nieliniowy to miejsce, gdzie poruszam takie tematy jak sztuczna inteligencja (artificial intelligence / AI), uczenie maszynowe (machine learning / ML) oraz analityka danych (data science / data analytics). Moich gości pytam też o biznes, naukę i etykę / odpowiedzialność w branży ML. Zapraszam serdecznie

PublishesMonthlyEpisodes86Founded4 years ago
Language
Polish
Category
Technology

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Latest Episodes

Rozmowa z Kasią Hewlet - data scientist z firmy Codilime.

 Poruszamy takie tematy jak:

- praca jako cyfrowy nomad

- kłopoty z zasilaniem i dostępem do internetu 

- zanieczyszczenie powietrza w Chinach

- początki Kasi w data science

- nauka programo... more

Rozmawiam z Marianną Parzych z Deepsense.ai

Poruszamy takie tematy jak :

- reakcje ludzi na grafiki generowane przez AI

- mody na LLM i powrotu wizji komputerowej do łask

- nowości w wizji komputerowej

- różnice między teorią a praktyką w wykorzysta... more

Interesuje Cię podcastowanie ?

Poznaj moją książkę:  Jak zacząć podcast - Michał Dulemba

Z Kacprem Łukawskim z firmy Qdrant rozmawiamy m.in na temat:

- algorytmów ANN (aproximate nearest neighbour)

- przydatności wyszukiwania po embeddingach (wektor... more

Rozmowa z Natalią Ożegalską-Łukasik (Uniwersystet Jagieloński) i Szymonem Łukasikiem (AGH / NASK)

Rozmawiamy m.in o:

– odpowiedzialnej kulturowo AI

– znanych skrzywieniach modeli generujących grafike

– bledach modeli klasyfikacyjnych pojawiających s... more

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Reviews

4.8 out of 5 stars from 55 ratings
  • Angielski

    Po wysłuchaniu odcinka 60 mam propozycje: nagrywaj tylko w języku angielskim - całą audycje.

    Apple Podcasts
    1
    MichalG
    Poland3 years ago

Chart Rankings

How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.

Apple Podcasts
#73
Denmark/Technology

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1. Przemek Górczyk Podcast

How many episodes of Nieliniowy are there?

Nieliniowy launched 4 years ago and published 86 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.

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