Once available only to scientists, today machine learning (ML) is open to a much broader audience of software architects and engineers. In fact, the practice of ML is so advanced that some algorithm results look like "black magic,” even to experienced practitioners.
Join us in D.C. at the National Union Building for our latest meet-up, “Machine Learning Design, Demystified” for free food, beer, and discussion on machine learning architecture.
Inspired by attribute-driven design (ADD) and 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 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 for discussion.
Don’t forget to register to secure your spot! Each attendee must be registered using their own name and contact info to attend this event. No on-site registrations will be permitted.
About the Speakers:
Serge Haziev – VP Technology Services Group
Serge Haziyev works as a SVP, Advanced Technology at SoftServe, a digital authority that advises and provides at the cutting-edge of technology. Serge has more than 20 years of experience in various technology domains including: Big Data, AI, IoT, and Cloud Computing.
He is a co-author of Smart Decisions (a.k.a., architectural poker game) currently used by SEI CMU to teach students to design Big Data solutions. Also, Serge is an active contributor to the software community by sharing industry-best practices through scientific (and not-so-scientific) publications.
Serge's current activities at SoftServe include leading AI, Big Data, IoT, and R&D advanced technology services, as well as conducting educational workshops, sharing concepts, and providing practical input to emerging technologies.
Iurii Milovanov – Data Science Practice Leader
Iurii Milovanov is a Data Science Practice Leader with more than 8 years’ experience in enterprise-level solutions including Big Data, data mining, and information security. He specializes in scientific and algorithmic approaches to solving various business tasks using state-of-the-art AI techniques, such as deep learning, computer vision, natural language processing, and speech recognition.
6:00 PM – Doors Open
6:30 PM – Speaker + Q&A
7:30 PM – Networking
When: Tue Aug. 28
6:00 pm - 8:00 pm
Address: 918 F Street NW
Washington DC,US 20004
Web: Visit Website