Oсtober 13-14 |
Kyiv Ramada Encore
Conference Center
  • Professor at Carnegie Mellon University. Pittsburgh, USA.

    Recent Advances in Deep Learning (remote)

    Ruslan Salakhutdinov is a UPMC Professor of Computer Science in the Department of Machine Learning at CMU. He received his PhD in computer science from the University of Toronto in 2009. After spending two post-doctoral years at the Massachusetts Institute of Technology Artificial Intelligence Lab, he joined the University of Toronto as an Assistant Professor…

    Read More

  • Technical Lead, Computational Linguist at Grammarly. Kyiv, Ukraine.

    Linguistics in NLP: why so complex?

    Computational linguist passionate about building natural language processing applications. I have professional experience in syntactic parsing, sentiment analysis, named entity recognition, fact extraction, text anonymization and a few more areas. For the last four years, I have been working on error correction and text improvement algorithms at Grammarly. I care a lot about computational linguistics…

    Read More

  • Research Engineer at Facebook AI Research. New York USA.

    Negotiation Dialogues

    Denis is a researcher at Facebook AI Research and also a PhD student in ML and AI at New York University. His research interests broadly involve Reinforcement Learning, Deep Learning, NLP and Robotics. Currently, Denis is investigating ways of semi-supervising Hierarchical Reinforcement Learning using natural language. In the past, Denis worked as a ML engineer…

    Read More

  • Machine Learning Engineer, DataRobot. Lviv, Ukraine.

    Target Leakage in Machine Learning

    Yuriy Guts is a Machine Learning Engineer at DataRobot with over 10 years of industry experience in data science and software architecture. His primary interests are productionalizing data science, automated machine learning, time series forecasting, and processing spoken and written language. He teaches AI and ML at UCU, competes on Kaggle, and has led multiple…

    Read More

  • Principal Data Scientist at Booking.com. Amsterdam, Netherlands

    100 Machine Learning Models running live: The Booking.com approach

    Lucas Bernardi is Principal Data Scientist at booking.com. His main focuses are Recommender Systems and Personalization. He leads the Machine Learning Productionization team and also contributes to the Experimentation framework. He blogs about data science and contributed to articles published in SIGIR, RecSys and WSDM. He is an Engineer with background in Computer Science and…

    Read More

  • Chief Research Officer, Neuromation; Laboratory Head, PDMI RAS; Lab Leader, Samsung AI Center Moscow. Saint-Petersburg, Russia.

    Synthetic Data and Generative Models in Deep Learning

    Sergey is a well-known researcher in machine learning (Deep learning, Bayesian methods, natural language processing, and much more) and analysis of algorithms (algorithms for networking, competitive analysis, theoretical computer science). He is an author of more than 150 research papers, several books, and popular courses “Machine learning”, “Deep learning”, and others. Sergey also has extensive…

    Read More

    ABOUT CONFERENCE

    AI Ukraine is a professional forum for meeting peers, sharing experiences and discussing the current issues in the field of data mining, machine learning, text mining, Big Data, Robotics, Computer Vision, and other areas of AI.

    Collective Discounts: with the participation of 3 persons – 5%, more than 4 – 7%, more than 7-10%

    ORGANIZER

    altexsoft-logo_white_500x198

     

    Being a Technology & Solution Consulting company, AltexSoft co-builds technology products to help companies accelerate growth. The AltexSoft team achieves this by leveraging their technical, process and domain expertise and access to the best price-for-value Eastern European engineers.

    Over 100 US-based and 200 worldwide businesses have chosen the company as their Technology Consulting Partner.

    GALLERY 2018
    OUR PARTNERS