Google Cloud and SoftServe Meet-up: Machine Learning Design, Demystified in London
Oct 25, 2018
Barbican Centre - London, UK
Join us at the Barbican Centre for our free meet-up, “Machine Learning Design, Demystified.”
Once available only to scientists, today machine learning (ML) is open to a much broader audience of software architects and engineers. Inspired by attribute-driven design (ADD) and Smart Decisions (a software architecture design game for big data), the authors are happy to present a new version of the game focused on designing ML systems.
In this participatory 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 and technical requirements, selecting the best matching algorithms, and teaching how to validate early design decisions using rapid prototyping techniques.
Attendees are encouraged to think of an ML use case and bring it to the meet-up for discussion.
Serge Haziev – SVP Technology Services Group
Serge has more than 18 years' experience in designing, evaluating and modernizing large scale software architectures in various technology domains including BI, Big Data, Clouds, SOA and Carrier-grade telecommunication services for both Fortune 100 and startups.
Iurii Milovanov – Data Science Practice Leader
Iurii Milovanov is a Data Science Practice Leader with more than 10 years of experience in building enterprise-level AI, big data and advanced analytics solutions.
Iurii is a computer science expert with strong emphasis on cutting-edge technologies. His research interests include various aspects of modern, progressive IT, and state-of-the-art artificial intelligence, such as distributed and parallel computing, large-scale machine learning, natural language processing, computer vision, and speech recognition.
Iurii is actively contributing to various research and scientific communities, including his participation in the KarooGP project, a genetic programming suite used at LIGO Lab for detecting gravitational-waves; SIMOC, an interactive model of a scalable, human community located on a remote planet; and DRLearner project, the first open source implementation of Google’s Deep Reinforcement Learning (DQN) algorithm for playing ATARI games.
London EC2Y 8DS
October 25, 2018
7:00 AM – Doors Open
7:30 AM – Speaker + Q&A
8:15 AM – Networking
Google is an American multinational technology company that specializes in Internet-related services and products, which include online advertising technologies, search engine, cloud computing, software, and hardware.