I will also discuss the common technical challenges of executing A/B tests on ML algorithms, such as infrastructure requirements, connecting online and offline metrics, and handling ramp up periods for online learning algorithms. Overall, the goal of this talk will be to motivate ML practitioners to use A/B testing when evaluating their algorithms and provide them with high-level guidelines on how to do it. Profile Pavel Dmitriev is a Vice President of Data Science at Outreach, where he works on enabling data driven decision making in sales through experimentation and machine learning. He was previously a Principal Data Scientist with Microsoft's Analysis and Experimentation team, where he worked on scaling experimentation in Bing, Skype, and Windows OS. Pavel co-authored numerous papers at top-tier data mining and machine learning conferences, such as WWW, ICSE, KDD, has given keynotes and tutorials at WWW, SIGIR, SEAA, and KDD.

We are very excited to organize 4th Annual Global Artificial Intelligence Conference - Santa Clara- in January month! As we get closer to the conference, we want to invite you to participate in Global Big Data Conference Webinar - Online Warm-Up on December 13 (1.00PM - 2.00PM) PST. Free Online Webinar: Friday Dec 13th, 2019 1.00 PM PST - 2:00PM PST Welcome to webinar hosted by Global Big Data Conference! Please start registering by entering your name and email address to attend Webinar Schedule: 1:00PM-1:20PM: Image Augmentations for Semantic Segmentation and Object Detection (Vladimir Iglovikov, Sr. Machine Learning Engineer, Lyft) 1:20 PM- 1:50PM: Building Real World AI Solutions (Alexander Liss, Director, Ancestry) 1:50PM - 2:00PM: Q&A KRS Murthy (CEO, KRS Murthy) will moderate the webinar Profile Vladimir Iglovikov, Sr. Machine Learning Engineer, Lyft Topic - Image Augmentations for Semantic Segmentation and Object Detection Abstract In his talk, Vladimir will talk about image augmentations. How to use them to improve Deep Learning models?