Tina Huang

🐙 Lunch & Learn: How to use AI to 10x Learning Things Part 2! | Tina Huang

Tina Huang

Summary

A recent live stream focuses on the importance of creating effective study plans for learning new skills, particularly using the framework from Scott Young's book "Ultra Learning." The session encourages participants to develop their own study plans, emphasizing the "why, what, and how" of learning. This method helps learners clarify their motivations, identify key concepts, and determine the best approaches to achieve their educational goals.

Participants are invited to share their study plans, with the opportunity to win gift cards to support their learning journeys. The discussion also highlights the benefits of using AI tools to enhance the learning process, suggesting that combining AI with traditional methods can streamline study planning and execution. The hosts encourage a collaborative environment where learners can share resources and strategies, reinforcing the idea that learning is a shared journey.

As the session progresses, the hosts express interest in reviving a scoreboard system to track progress and accountability among participants. This initiative aims to foster a supportive community that motivates individuals to stay committed to their learning objectives. The live stream concludes with plans for a follow-up session to continue discussing study strategies and to finalize the selection of winners for the gift card giveaway.

Show Notes

🐙 Lunch & Learn: How to use AI to 10x Learning Things Part 2! Want to get ahead in your career using AI? Join my FREE workshop: https://www.lonelyoctopus.com/workshop Head to http://brilliant.org/tinahuang to get started for free with Brilliant's interactive lessons with 20% off an annual membership. 🤝 Business Inquiries: https://tally.so/r/mRDV99 🖱️Links mentioned in video ======================== 🔗Affiliates ======================== My SQL for data science interviews course (10 full interviews): https://365datascience.com/learn-sql-for-data-science-interviews/ 365 Data Science: https://365datascience.pxf.io/WD0za3 (link for 57% discount for their complete data science training) Check out StrataScratch for data science interview prep: https://stratascratch.com/?via=tina 🎥 My filming setup ======================== 📷 camera: https://amzn.to/3LHbi7N 🎤 mic: https://amzn.to/3LqoFJb 🔭 tripod: https://amzn.to/3DkjGHe 💡 lights: https://amzn.to/3LmOhqk ⏰Timestamps ======================== 00:00 intro 📲Socials ======================== instagram: https://www.instagram.com/hellotinah/ linkedin: https://www.linkedin.com/in/tinaw-h/ discord: https://discord.gg/5mMAtprshX 🎥Other videos you might be interested in ======================== How I consistently study with a full time job: https://www.youtube.com/watch?v=INymz5VwLmk How I would learn to code (if I could start over): https://www.youtube.com/watch?v=MHPGeQD8TvI&t=84s 🐈‍⬛🐈‍⬛About me ======================== Hi, my name is Tina and I'm an ex-Meta data scientist turned internet person! 📧Contact ======================== youtube: youtube comments are by far the best way to get a response from me! linkedin: https://www.linkedin.com/in/tinaw-h/ email for business inquiries only: [email protected] ======================== Some links are affiliate links and I may receive a small portion of sales price at no cost to you. I really appreciate your support in helping improve this channel! :) 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. -----------------------

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