Jupyter and the Evolution of ML Tooling with Brian Granger - #544
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
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Navigating Machine Learning Tooling
This chapter explores the complexities of machine learning tooling, from data preparation to model deployment, emphasizing the need for effective user experience (UX) design. It highlights the importance of collaboration between UX designers and engineers to enhance the human experience in technical environments. The chapter also introduces Amazon SageMaker Canvas, a no-code tool for business analysts, and discusses its design, functionalities, and future enhancements.
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