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EVENT DETAILS |
Once available only to scientists, today machine learning (ML) is open to a much broader audience of software architects & engineers. In fact, the practice of ML is so advanced that some algorithm results look like "black magic, even to experienced practitioners.
Join us attheGoogle NYC office for our latest meetup, Machine Learning Design, Demystified for free food, beer, & discussion on machine learning architecture.
Inspired by attribute-driven design (ADD) & Smart Decisions (a software architecture design game for big data), our speakers are excited to share a new version of the game focused on designing ML systems.
In this interactive session, you will learn about designing the architecture for ML systems via series of gamified interactive exercises. We will simulate state-of-the-art ML design systems by analyzing both business & technical requirements, selecting the best matching algorithms, & teaching how to validate early design decisions using rapid prototyping techniques.
Attendees are encouraged to think of an ML use case & bring it for discussion.
Don't forget to register to secure your spot!
About the Speakers:
Serge Haziev- VP Technology Services GroupSerge has more than 18 years' experience in designing, evaluating & modernizing large scale software architectures in various technology domains including BI, Big Data, Clouds, SOA & Carrier-grade telecommunication services for both Fortune 100 & startups.
Iurii Milovanov - Data Science Practice LeaderIurii has more than 8 years' experience in enterprise-level solutions including Big Data, data mining, & information security. He specializes in scientific & algorithmic approaches to solving various business tasks using state-of-the-art AI techniques, such as deep learning, computer vision, natural language processing, & speech recognition.
Agenda:
6:00 PM - Doors Open
6:15 PM - Speaker + Q&A
7:15 PM - Networking
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