Human-Centered Machine Learning

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Ratings

N/A

Episodes

Cadence

0.3 ep/wk

Latest episode

6 years ago

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💡 Facts

📤Posts about 0.3× per week.

👥 Audience demographics

Estimated

Modeled from this creator's niche, platform & region — a planning estimate, not connected analytics.

Gender split

Male 76% Female 24%

Age · peak 18-24

13-179%

18-2436%

25-3430%

35-4414%

45+11%

Top geographies

United States34%
India11%
United Kingdom8%
Brazil6%
Indonesia5%

Likely interests

TechnologyGadgetsSoftwareGaming

💚 Brand affinity

Estimated

Brands Human-Centered Machine Learning's audience is most likely to respond to — from detected sponsorships in this niche.

Keeps

Genshin Impact

Shopify

Saily

Nebula

Dbrand

Surfshark

Incogni

Vessi

AG1

About

In this course we will explore the challenges presented when designing AI-powered services. In particular, we will take a look at Machine Learning (such as deep learning and generative adversarial networks), and how that can be used in human-centered design of digital services. This course is created for User Experience (UX) professionals, Service Designers, and Product Managers as a way to help take a human-centered approach to AI in their work. The course is also useful for developers and engineers who want to both learn more about different Machine Learning techniques, and at the same time get a deeper understanding of the importance of a human-centered approach to digital design. The podcast is developed by Pontus Wärnestål, Stefan Byttner, Cristofer Englund and Jeanette Sjöberg at Halmstad University in Sweden, and is financed by VINNOVA. Music by Lee Rosevere. Read more: dap.hh.se