Videos from our events

Proekspert is a passionate supporter of leading events on data, design, development, AI, data science, innovative mindset and the future of tech. Unable to get to one of our events?
Catch up on the latest videos from our playlist below.

Andrus Kuus, Proekspert, North Star AI: “3 principles you probably know”

Andrus speaks about the common problems that every new data science team most likely has.

Watch other videos too:

Challenges and Solution Approaches for Learning in Industry 4.0, Viktoria Pammer-Schindler

Andrus speaks about the common problems that every new data science team most likely has.

Professional tel 4.0 performance augmentation for Industry 4.0, Dr Fridolin Wild

Andrus speaks about the common problems that every new data science team most likely has.

Pierre Lupi-Chen: "How emotions drive business outcomes"

Andrus speaks about the common problems that every new data science team most likely has.

Sean Gourley: "Building machines that read and write"

Andrus speaks about the common problems that every new data science team most likely has.

Kuidas automatiseerimine ja AI muudavad tööstust?

Andrus speaks about the common problems that every new data science team most likely has.

Kas robotid võivad saada teadlikuks? Ville Jehe, Peeter Meos ja Kaur Lass

Andrus speaks about the common problems that every new data science team most likely has.

Habib Adam: "Implementing flexible ML solutions"

Andrus speaks about the common problems that every new data science team most likely has.

Peter Prettenhofer: "Dataset shift in machine learning"

Andrus speaks about the common problems that every new data science team most likely has.

Maxim Orlovsky, Pandora Boxchain in North Star AI conference powered by Proekspert

Andrus speaks about the common problems that every new data science team most likely has.

Travis Oliphant: "Scaling and Optimizing Python on Modern Hardware Infrastructure"

Andrus speaks about the common problems that every new data science team most likely has.

Ahti Heinla, Starship: "Building self-driving delivery robots"

Andrus speaks about the common problems that every new data science team most likely has.

Setting up End-to-end predictive customer care through ML

Andrus speaks about the common problems that every new data science team most likely has.

Sayan Pathak: "Scalable Deep Learning at Microsoft"

Andrus speaks about the common problems that every new data science team most likely has.

Teemu Arina at Proekspert's Internal Conference

Andrus speaks about the common problems that every new data science team most likely has.

Vaiko Hansson at Proekspert's Internal Conference

Andrus speaks about the common problems that every new data science team most likely has.

Proekspert´s ML Meetup. Applications of Text. Alphablues.

Andrus speaks about the common problems that every new data science team most likely has.

Proekspert´s ML Meetup: Statistical Methods in Language Learning

Andrus speaks about the common problems that every new data science team most likely has.

Envisioning and Grounding New Educational Designs in Data Driven Approaches

Andrus speaks about the common problems that every new data science team most likely has.

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