Applying Machine Learning to your business · Zoom · Luma

2 min read Original article ↗

​Who this is for:

  • ​CTOs & tech-savvy CEOs: you're keen to apply ML to your venture, but don't know where to start

  • ​Technical leads & full-stack developers: you're keen to hear more about the potential of ML

​Note that whilst no ML-specific knowledge is required to participate, a basic understanding of web-app development is useful to get the most out of the workshop.

​What you can expect to get out of this live workshop

  1. ​Having understood key mechanics in AI, with a focus on Computer Vision techniques

  2. ​Examples of how companies are applying AI to differentiate. We'll focus on Computer Vision applications across a range of industries: social media and entertainment, insurance, real estate, clothing, construction, electronics, medicine, and animal conservation.

  3. ​Live demos of practical applications, incl. walking through a typical pipeline to build a CV model

  4. ​Q&A: if you have any business-specific questions, this is the time!

​Additional benefits

  • ​Overview of our upcoming 6-week (part-time) workshop for CTOs, where we'll help 12 CTOs bring their AI roadmap to life.

  • ​Priority access to the 6-week workshop for CTOs (limited to 12 spots)

​Note the 6-week worship will go in-depth over many applications of Machine Learning beyond Computer Vision, including Natural Language Processing (e.g. GPT-3)

​Examples of Computer Vision applications

  • ​Automation of paperwork data extraction

  • ​Instant feedback to partners (e.g. e-commerce vendors) to upload correct image styles/format

  • ​Hand-writing recognition for fraud minimization

  • ​Comprehensive trend analysis on social networks

  • ​Improving user onboarding flowers through engagement detection

  • ​Price estimation and description writing from a simple picture (for SKUs)

​About your instructor: Dr Jonathan Grizou

  • ​PhD in Machine Learning from INRIA

  • ​Awarded the "Prix Le Monde de la Recherche", delivered by Fields Medal Laureate Cédric Villani (2015)

  • ​Assistant Professor of Computer Science @ University of Glasgow

  • ​Co-Founder, Pollen Robotics (2016-2018)

  • ​Contributor to the French Strategy for AI report, AI for Humanity (2018)

  • ​Published in Nature Communication and Science Advances

  • ​More info at: https://jgrizou.com/