Machine studying and deep studying, the subset of ML that allows computer systems to see, hear and perceive, isn’t new: it is a fast-maturing discipline. Every IT skilled wants to know elementary instruments in 2021. In this webinar we allow software program builders, options architects, and DevOps to know the must-have necessities for ML in immediately’s surroundings. This consists of on/off-premises integration, laptop imaginative and prescient, voice and language processing in addition to the required terminology and roles for stakeholders.
Presenter: Kris Skrinak
Kris Skrinak is the Global Machine Learning Technical Lead for the Amazon Partner Network (“APN”). He co-founded the Machine Learning group for the APN in 2017. Kris began his profession as a Quantitative Strategist at Goldman Sachs, developed predictive upkeep apps as an AI Engineer at ATT, and previous to Amazon was Computer Vision Architect at GoPro. He based and bought 2 Silicon Valley startups in Finance and Network Monitoring: ClearStation and SiteRock. As the technical lead for horizontal help of AI/ML he is the first line of help for AWS Partners seeking to develop or broaden their use of those applied sciences throughout all markets together with: Finance, Healthcare and Life Sciences, Public Services, Telecommunications, and E-Commerce.
Save My Seat
Find out extra about AWS Training: The Machine Learning Pipeline on AWS