This meetup has held in Mountain View on 29th November, 2017.
The slides of this meetup can be found here: www.slideshare.net/0xdata/feature-engineering-83511751
Abstract:
In this talk, Dmitry is going to share his approach to feature engineering which he used successfully in various Kaggle competitions. He is going to cover common techniques used to convert your features into numeric representation used by ML algorithms.
Dmitry's 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.