Tonex's "Machine Learning for Safety Engineers" training offers a profound exploration into the integration of machine learning within safety engineering. Designed for safety professionals, this course provides a solid foundation in machine learning basics, emphasizing practical applications in risk assessment and prevention. Through real-world case studies and hands-on sessions, participants gain proficiency in implementing predictive models, seamlessly integrating machine learning into existing safety frameworks. With a focus on tools, platforms, and effective communication of ML outcomes, this course equips safety engineers with the knowledge and skills to harness the power of machine learning for proactive risk mitigation in diverse industries.
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The materials within this course focus on the NICE Framework Task, Knowledge, and Skill statements identified within the indicated NICE Framework component(s):
If you would like to provide feedback on this course, please e-mail the NICCS team at NICCS@mail.cisa.dhs.gov. Please keep in mind that NICCS does not own this course or accept payment for course entry. If you have questions related to the details of this course, such as cost, prerequisites, how to register, etc., please contact the course training provider directly. You can find course training provider contact information by following the link that says “Visit course page for more information...” on this page.