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The Algorithm is Not Enough: UX Meets Data Science

Offered By: Toronto Machine Learning Series (TMLS) via YouTube

Tags

User Experience Courses Data Science Courses Data Analysis Courses Data Visualization Courses Machine Learning Courses Product Development Courses Data-Driven Decision Making Courses UX Design Courses User-Centered Design Courses

Course Description

Overview

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Explore the intersection of User Experience (UX) and Data Science in this 51-minute conference talk from the Toronto Machine Learning Series (TMLS). Join speakers Roxana Barbu, Cognitive Data Specialist at Macadamian Technologies, and Scott Plewes, Chief Strategy Officer at Akendi, as they delve into the challenges and opportunities of integrating these two crucial fields. Discover why having separate UX and data science teams working in silos is no longer sufficient in today's data-driven, user-centric world. Learn how combining the strengths of both disciplines can lead to more effective and innovative product development. Gain insights into strategies for breaking down barriers between UX and data science teams, and understand the potential benefits of a collaborative approach in creating products that are both data-informed and user-friendly.

Syllabus

The Algorithm is not Enough: UX Meets Data Science


Taught by

Toronto Machine Learning Series (TMLS)

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