Support Vector Machine (SVM) Introduction — Machine Learning
Last Updated on April 8, 2021 by Editorial Team
Author(s): Towards AI Team
An introduction to support vector machines (SVM) in machine learning, and their role in supervised ML with examples
Published via Towards AI
Roberto Iriondo
Roberto Iriondo has established a venerable reputation in the domain of AI marketing, particularly as a Executive Marketing Advisor and consultant. His career trajectory commenced at Carnegie Mellon University under Manuela Veloso and Roni Rosenfeld's leadership, where he served as a front-end engineer and marketing lead, showcasing his proficiency in technical development by creating platforms such as the renowned CMU Machine Learning Research blog. As the Head of Content at Snorkel AI from 2021 to 2022, and subsequently at Cohere from 2022 to 2023, Roberto's expertise in shaping brand narratives and crafting effective content strategies became evident. Alongside these roles, he exhibited an astute understanding of web growth strategy, as manifested in his marketing agency's operations from 2017 to 2021. This agency catered to emerging businesses with a focus on SEO services. Furthermore, his involvement in strategic roles at Towards AI, both before and after its 2022 acquisition, underscores his multifaceted contributions to the AI marketing landscape. As a builder and strategist by heart, his work has helped several companies achieve business goals and significantly increase ROI, from Amazon Science, MBZUAI, Gather AI, Determined AI, Lambda Labs, Udacity, and many more.
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