Fundamentals Each ML Practitioner In 2021 [Webinar]
Machine learning and deep learning, the subset of ML that enables computers to see, hear, and understand is not new: it is a rapidly maturing area. Every IT professional needs to understand basic tools by 2021. In this webinar we enable software developers, solution architects, and DevOps to understand the essential requirements for ML in today’s environment. This includes on / off premises integration, computer vision, speech and language processing as well as the necessary terminology and roles for the stakeholders.
Moderator: Kris Skrinak
Kris Skrinak is the Global Machine Learning Technical Lead for the Amazon Partner Network (“APN”). In 2017 he co-founded the machine learning group for the APN. Kris started his career as a quantitative strategist at Goldman Sachs, developed predictive maintenance apps as an AI engineer at ATT and was before Amazon Computer Vision Architect at GoPro. He founded and sold 2 Silicon Valley startups in finance and network monitoring: ClearStation and SiteRock. As the technical lead for horizontal support for AI / ML, he is the first port of call for AWS partners looking to develop or expand their use of these technologies in all markets including: finance, healthcare and life sciences, public services, telecommunications and e-commerce .
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