🐙 Useful Agents To Start Building Today | Tina Huang
Tina Huang18 Aug

🐙 Useful Agents To Start Building Today | Tina Huang

🐙 Useful Agents To Start Building Today 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. ------------ --------------- Keywords: open source ai, vibe coding, tech productivity Learn more about your ad choices. Visit megaphone.fm/adchoices

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Episoder(227)

the most underrated data job in 2021 | Tina Huang

the most underrated data job in 2021 | Tina Huang

the most underrated data job in 2021 Hi friends! This is an introduction to the most underrated data job in 2021 (in my opinion).______________________________________________________________________...

25 Aug 10min

How to learn math for data science (the minimize effort maximize outcome way) | Tina Huang

How to learn math for data science (the minimize effort maximize outcome way) | Tina Huang

How to learn math for data science (the minimize effort maximize outcome way) In this video, I cover how to learn math for data science - the minimize effort and maximize outcome way! You also get a ...

25 Aug 9min

🐙 Lunch & Learn: How to use AI to Solve Tiny Annoying Things | Tina Huang

🐙 Lunch & Learn: How to use AI to Solve Tiny Annoying Things | Tina Huang

🐙 Lunch & Learn: How to use AI to Solve Tiny Annoying Things 🤖 Sign up here to get accompanying workbooks, summaries, and notifs for future lunch & learns: https://www.lonelyoctopus.com/email-signup...

25 Aug 1h 40min

Interview with a quant trader | Tina Huang

Interview with a quant trader | Tina Huang

Interview with a quant trader This is an extremely lucrative but pretty mysterious job that I know many people are interested in learning more about. In this video, I interview Worthan Kwan, a quant ...

25 Aug 52min

Claude 4 Models & Claude Code Fundamentals In 24 Minutes | Tina Huang

Claude 4 Models & Claude Code Fundamentals In 24 Minutes | Tina Huang

Claude 4 Models & Claude Code Fundamentals In 24 Minutes Try out the new model capabilities through Claude.ai & Claude Code on the Pro or Max plan: http://clau.de/tinahuang #claudepartner @anthropic-a...

25 Aug 30min

What's the best certificate for data analysts? Google vs IBM Data Analyst Certificate | Tina Huang

What's the best certificate for data analysts? Google vs IBM Data Analyst Certificate | Tina Huang

What's the best certificate for data analysts? Google vs IBM Data Analyst Certificate In this video I do an in depth comparison between the Google vs IBM data analyst certificate. I do an overview of...

24 Aug 19min

Watch This If You Need AI Use Cases Inspo | Tina Huang

Watch This If You Need AI Use Cases Inspo | Tina Huang

Watch This If You Need AI Use Cases Inspo 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...

24 Aug 3min

How I chose my masters degree (as an international student) | Tina Huang

How I chose my masters degree (as an international student) | Tina Huang

How I chose my masters degree (as an international student) I'm a FAANG data scientist but my masters was in computer science? This was actually very intentional! In this video, I outline how I chose...

24 Aug 10min

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