H2O.ai
This talk was recorded in London on October 30th, 2018.
Slides from the video can be viewed here: https://www.slideshare.net/0xdata/feature-engineering-in-h2o-driverless-ai-dmitry-larko-h2o-ai-world-london-2018
In his talk Dmitry is going to cover common feature engineering techniques used to build robust machine learning models as well as some not widely known/used approaches.
Bio: Senior Data Scientist at H2O.ai, Dmitry Larko also is a former #25 Kaggle Grandmaster and loves to use his machine learning and data science skills in Kaggle Competitions and predictive analytics software development. He has more than 15 years of experience in information technology. Post his masters in computer information systems from Krasnoyarsk State Technical University (KSTU), he started his career in data warehousing and business intelligence and gradually moved to big data and data science. He holds a lot of experience in predictive analytics in a wide array of domains and tasks. Prior to H2O.ai, Dmitry held the position of SAP BW Developer at Chevron, Data Scientist at EPAM, and that of Lead Software Engineer with the Russian Federation.
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