Building Value into Machine Learning Models and Articulating Their Worth
Data Science Festival via YouTube
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Discover how to create valuable machine learning models and effectively communicate their worth in this 51-minute talk by Julia Glenn, Design Innovation Lead at innovateuk. Gain insights and practical tips for developing interesting, useful, and viable models, even with limited experience. Learn strategies to articulate the value of your models to stakeholders, ensuring they understand the insights and benefits. Explore both WEKA and Python platforms as you delve into the process of building and presenting impactful machine learning solutions. This session, part of the Data Science Festival Summer School 2023, offers valuable knowledge for data professionals looking to enhance their model-building skills and stakeholder communication abilities.
Syllabus
How to build value into your machine learning models and how to articulate this
Taught by
Data Science Festival