Once available only to scientists, today machine learning (ML) is open to a much broader audience of software professionals including business analysts. In fact, the practice of ML is so advanced that some algorithm results look like "black magic,” even to experienced practitioners.

Inspired by attribute-driven design (ADD) and Smart Decisions (a card game created with CMU SEI), 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 machine learning fundamentals and key ML requirements via series of gamified interactive exercises. We will simulate how to build state-of-the-art ML 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.

• Serge Haziyev works as an SVP of Advanced Technology at SoftServe. 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 CMU SEI 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 is a Data Science Practice Leader at SoftServe with more than 8 years of industry experience in building enterprise-level AI and Big Data solutions. He 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 AI, such as distributed and parallel computing, large-scale machine learning (deep learning and Big Data), natural language processing, computer vision, speech recognition and others.
  Iurii is actively contributing to various scientific and engineering communities, including his participation in KarooGP project – a genetic programming tool used at LIGO Lab for detecting gravitational-waves as well as DRLearner project – which was the first open source implementation of Google’s DQN algorithm for playing ATARI games.

Meetup will be held in English.

Event organizers: Business Analysis Community and LITS

All the costs from the meetup will be transferred to Open Eyes charity fund collecting money for Positive Rooms project.

• 6:45 PM – 7 PM: Registration
• 7 PM – 9 PM: Workshop + Q&A
• 9 PM – 9:30 PM: Networking