Join us for our upcoming free webinar on Machine Learning in Medical Devices on 31 October at 11am (NZT). Tyler Harmon, an experienced expert in deep learning and machine learning, will explore different types of machine learning and demonstrate their applications in medical devices. This session is designed to expand your understanding of how machine learning can revolutionise healthcare solutions and provide a critical advantage in addressing various medical challenges.
By attending this webinar you will:
- Gain a clear understanding of different machine learning models and their specific applications in the medical device space.
- Discover the potential of machine learning to solve real-world healthcare problems and expand the horizons of medical technology.
- Gain knowledge that will enable even those with a basic understanding of software development to appreciate the transformative power of machine learning and AI in healthcare.
- Engage with practical, in-depth examples that clarify the theory and application of machine learning, simplifying complex concepts into actionable insights.
About our Presenter: Tyler Harmon
With over a decade of extensive experience in deep learning and machine learning, Tyler Harmon has been at the forefront of leveraging these technologies to deliver innovative solutions in healthcare. Enthusiastic about sharing his wealth of knowledge, Tyler aims to foster a deeper understanding and excitement within the medtech community about the limitless possibilities of machine learning.
Webinar Details
Date: 31 October 2023
Time: 11:00 am (NZT)
Location: Zoom (link provided after registration)
Free.
This informative session is tailored to equip both seasoned professionals and newcomers to the medical technology field with a solid understanding of machine learning applications. Here’s your chance to understand how embracing machine learning can significantly advance your medtech endeavours.
Please fill out the registration form below to ensure your participation in this eye-opening discussion!
