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 HOT@twit.tv 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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Контент предоставлен Women Who Code. Весь контент подкастов, включая эпизоды, графику и описания подкастов, загружается и предоставляется непосредственно компанией Women Who Code или ее партнером по платформе подкастов. Если вы считаете, что кто-то использует вашу работу, защищенную авторским правом, без вашего разрешения, вы можете выполнить процедуру, описанную здесь https://ru.player.fm/legal.
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Talks Tech #51: Fairness and Bias in Recommendation Systems
Manage episode 382391670 series 3292119
Контент предоставлен Women Who Code. Весь контент подкастов, включая эпизоды, графику и описания подкастов, загружается и предоставляется непосредственно компанией Women Who Code или ее партнером по платформе подкастов. Если вы считаете, что кто-то использует вашу работу, защищенную авторским правом, без вашего разрешения, вы можете выполнить процедуру, описанную здесь https://ru.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.
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Manage episode 382391670 series 3292119
Контент предоставлен Women Who Code. Весь контент подкастов, включая эпизоды, графику и описания подкастов, загружается и предоставляется непосредственно компанией Women Who Code или ее партнером по платформе подкастов. Если вы считаете, что кто-то использует вашу работу, защищенную авторским правом, без вашего разрешения, вы можете выполнить процедуру, описанную здесь https://ru.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/
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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 HOT@twit.tv 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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