Welcome to Hands-On Tech, where host Mikah Sargent turns tech troubles into tech triumphs. Each episode zooms in on a specific theme, unpacking listener questions with expert analysis and easy-to-follow advice. From decoding the latest gadgets to simplifying everyday tech, Mikah's got you covered. Submit your tech queries through email at [email protected] or via TWiT's social media. You might hear your question answered on air! And keep an ear out for guest experts who drop by to share their spec ...
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Talks Tech #51: Fairness and Bias in Recommendation Systems
Manage episode 382391670 series 3292119
Вміст надано Women Who Code. Весь вміст подкастів, включаючи епізоди, графіку та описи подкастів, завантажується та надається безпосередньо компанією Women Who Code або його партнером по платформі подкастів. Якщо ви вважаєте, що хтось використовує ваш захищений авторським правом твір без вашого дозволу, ви можете виконати процедуру, описану тут https://uk.player.fm/legal.
Welcome to the Women Who Code podcast. I am Ashmi Banerjee, a PhD candidate at the Technical University of Munich specializing in Recommended Systems Research. Today, we will explore the topic of fairness and biases in recommended systems.
Episode: https://www.womenwhocode.com/blog/excelling-as-a-black-woman-in-leadership/
Video: https://www.youtube.com/watch?v=1XBa_zpJTf4
Guest: Ashmi Banerjee, a PhD candidate at the Technical University of Munich specializing in Recommended Systems Research
252 епізодів
Поширити
Manage episode 382391670 series 3292119
Вміст надано Women Who Code. Весь вміст подкастів, включаючи епізоди, графіку та описи подкастів, завантажується та надається безпосередньо компанією Women Who Code або його партнером по платформі подкастів. Якщо ви вважаєте, що хтось використовує ваш захищений авторським правом твір без вашого дозволу, ви можете виконати процедуру, описану тут https://uk.player.fm/legal.
Welcome to the Women Who Code podcast. I am Ashmi Banerjee, a PhD candidate at the Technical University of Munich specializing in Recommended Systems Research. Today, we will explore the topic of fairness and biases in recommended systems.
Episode: https://www.womenwhocode.com/blog/excelling-as-a-black-woman-in-leadership/
Video: https://www.youtube.com/watch?v=1XBa_zpJTf4
Guest: Ashmi Banerjee, a PhD candidate at the Technical University of Munich specializing in Recommended Systems Research
252 епізодів
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Схожі до The Women Who Code Podcast
Welcome to Hands-On Tech, where host Mikah Sargent turns tech troubles into tech triumphs. Each episode zooms in on a specific theme, unpacking listener questions with expert analysis and easy-to-follow advice. From decoding the latest gadgets to simplifying everyday tech, Mikah's got you covered. Submit your tech queries through email at [email protected] or via TWiT's social media. You might hear your question answered on air! And keep an ear out for guest experts who drop by to share their spec ...
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Best Business Podcast (Gold), British Podcast Awards 2023 How do you build a fully electric motorcycle with no compromises on performance? How can we truly experience what the virtual world feels like? What does it take to design the first commercially available flying car? And how do you build a lightsaber? These are some of the questions this podcast answers as we share the moments where digital transforms physical, and meet the brilliant minds behind some of the most innovative products a ...
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