Show Notes
the 5 books that changed my life
The first 1000 visitors to https://www.shortform.com/tinahuang will receive a 5 days of unlimited access and a 20% discounted annual subscription.In this video, I talk through the 5 books that changed my life the most, falling into the general categories of worldview, productivity & learning, and personal finance. Timestamps 00:00 intro00:26 category - worldview00:41 a million miles in a thousand years03:07 man's search for meaning06:48 category - productivity and learning 07:00 ultralearning07:44 the four disciplines of execution08:58 category - personal finance09:14 the richest man in babylon🔗Affiliates**365 Data Science: https://bit.ly/3tIUBCY (link for 57% discount for their complete data science training)**Check out StrataScratch for data science interview prep: https://stratascratch.com/?via=tina📲Socials instagram: https://www.instagram.com/hellotinah/linkedin: https://www.linkedin.com/in/tinaw-h/ discord: https://discord.gg/5mMAtprshX🤯Study with Tina Study with Tina channel:https://www.youtube.com/channel/UCI8JpGrDmtggrryhml8kFGwHow to make a studying scoreboard: https://www.youtube.com/watch?v=KAVw910mIrIScoreboard website: scoreboardswithtina.comlivestreaming google calendar:https://bit.ly/3wvPzHB🎥Other videos you might be interested inHow I consistently study with a full time job:https://www.youtube.com/watch?v=INymz5VwLmkHow 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 a data scientist at a FAANG company. I was pre-med studying pharmacology at the University of Toronto until I finally accepted that I would make a terrible doctor. I didn't know what to do with myself so I worked for a year as a research assistant for a bioinformatics lab where I learned how to code and became interested in data science. I then did a masters in computer science (MCIT) at the University of Pennsylvania before ending up at my current job in tech :) 📧Contactyoutube: 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] ______________________________________________________________________Links marked with ** 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! :)Links marked with * are tracking links that track traffic that comes from my channel. Links marked with ** are affiliate links where I receive a small portion of the sales price at no cost to you. I really appreciate your support in helping improve this channel! :)#books #nonfiction #tinahuang
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/@TinaHuang1Disclaimer: 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.
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Sponsored by Viktor, the AI employee that lives in Slack and Microsoft Teams and connects to 3,200+ tools. Hire Viktor for your team: https://ref.viktor.com/thuang-ytPromo code TINA100. $100 of his work free, no credit card, running in minutes.@getviktor_com 🧠 Signup for my live teachable workshop (it's free!) 👉 https://bit.ly/4wSHn4oIn this video I cover every AI model! 📑 Video resource mentioned in video (prompts etc.) 👉 https://www.lonelyoctopus.com/download-resource-every-ai-model🐙 Free 28-Day AI Sprint Roadmap - pick your goal to get a clear, day-by-day path forward 👉 https://www.lonelyoctopus.com/ai-sprint-roadmap🤖 Want to get ahead in your career using AI? Join the waitlist for my AI Agent Bootcamp: https://www.lonelyoctopus.com/ai-agent-bootcamp🤝 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 01:01 Flagship Models 04:18 Viktor: AI employee overview05:19 Work Horse/Mid-tier Models11:36 Light Models 15:50 Specialized Models 📲Socials ========================instagram: https://www.instagram.com/hellotinah/linkedin: https://www.linkedin.com/in/tinaw-h/ tiktok: https://www.tiktok.com/@hellotinahuang 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=INymz5VwLmkHow 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! :) Learn more about your ad choices. Visit megaphone.fm/adchoices
After testing hundreds of AI tools, here’s what I wish more people knew 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. ----