Tina is a former data scientist at Meta.
Her channel focuses on AI, coding, tech, career development, and self-study.
Always striving to minimize effort while maximizing outcomes.
In fact, she firmly avoids doing extra work to reach her goals — one of the many reasons she loves AI.
Follow this podcast to get Tina Huang’s insights in audio format, perfect for learning on the go.
Tina Huang on YouTube: https://www.youtube.com/@TinaHuang1
Disclaimer: This podcast is an independent audio adaptation of content originally created by Tina Huang. It was made by a viewer who values her insights and aims to make them more accessible for audio-first learners. This is not an official production of Tina Huang, and it is not affiliated with or endorsed by her. All rights to the original video content remain with Tina Huang. If you represent Tina and would like to discuss this project, please don’t hesitate to get in touch.
All content for Tina Huang is the property of Tina Huang and is served directly from their servers
with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
Tina is a former data scientist at Meta.
Her channel focuses on AI, coding, tech, career development, and self-study.
Always striving to minimize effort while maximizing outcomes.
In fact, she firmly avoids doing extra work to reach her goals — one of the many reasons she loves AI.
Follow this podcast to get Tina Huang’s insights in audio format, perfect for learning on the go.
Tina Huang on YouTube: https://www.youtube.com/@TinaHuang1
Disclaimer: This podcast is an independent audio adaptation of content originally created by Tina Huang. It was made by a viewer who values her insights and aims to make them more accessible for audio-first learners. This is not an official production of Tina Huang, and it is not affiliated with or endorsed by her. All rights to the original video content remain with Tina Huang. If you represent Tina and would like to discuss this project, please don’t hesitate to get in touch.
Debunking AI Myths
Tina is a former data scientist at Meta.
Her channel focuses on AI, coding, tech, career development, and self-study.
Always striving to minimize effort while maximizing outcomes.
In fact, she firmly avoids doing extra work to reach her goals — one of the many reasons she loves AI.
Follow this podcast to get Tina Huang’s insights in audio format, perfect for learning on the go.
Tina Huang on YouTube: https://www.youtube.com/@TinaHuang1
Disclaimer: This podcast is an independent audio adaptation of content originally created by Tina Huang. It was made by a viewer who values her insights and aims to make them more accessible for audio-first learners. This is not an official production of Tina Huang, and it is not affiliated with or endorsed by her. All rights to the original video content remain with Tina Huang. If you represent Tina and would like to discuss this project, please don’t hesitate to get in touch.
-----------
Learn more about your ad choices. Visit megaphone.fm/adchoices
Tina Huang
Tina is a former data scientist at Meta.
Her channel focuses on AI, coding, tech, career development, and self-study.
Always striving to minimize effort while maximizing outcomes.
In fact, she firmly avoids doing extra work to reach her goals — one of the many reasons she loves AI.
Follow this podcast to get Tina Huang’s insights in audio format, perfect for learning on the go.
Tina Huang on YouTube: https://www.youtube.com/@TinaHuang1
Disclaimer: This podcast is an independent audio adaptation of content originally created by Tina Huang. It was made by a viewer who values her insights and aims to make them more accessible for audio-first learners. This is not an official production of Tina Huang, and it is not affiliated with or endorsed by her. All rights to the original video content remain with Tina Huang. If you represent Tina and would like to discuss this project, please don’t hesitate to get in touch.
