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5 Rapid Questions With Tina HuangTina 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/@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. If you represent Tina and would like to discuss this project, please don’t hesitate to get in touch. --------------- Keywords: ai trends, ai podcast, open source ai, data science, self study, gpt models, tech career, ai safety Learn more about your ad choices. Visit megaphone.fm/adchoices

Investing In 52 MinutesTina 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/@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. If you represent Tina and would like to discuss this project, please don’t hesitate to get in touch.------- ---------------Investing In 52 MinutesTina 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/@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. If you represent Tina and would like to discuss this project, please don’t hesitate to get in touch. ------ Keywords: chatbots, ai projects, ai trends Learn more about your ad choices. Visit megaphone.fm/adchoices

How I take notes - Tips for efficient note taking that speeds up learning Hi friends! In this video, I share with you guys how I take notes from start to finish. I love things that minimize effort and maximize outcome so my note taking also doubles as a way to speed up the learning process. It's also fast and efficient, but still easy to reference when I want to revisit the notes in the future. I hope you enjoy this video: How I take notes - Tips for efficient note taking that speeds up learning Timestamps 00:00 Intro 01:23 Stationary02:48 Pre-notetaking 03:17 Notetaking03:35 Notetaking - system04:11 Notetaking - focus on high level concepts05:05 Notetaking - focus on own insights and connections06:22 Notetaking - full examples08:45 Notetaking - tip if you have FOMO09:07 Post-notetaking _____________________________________________________________________discord: https://discord.gg/5mMAtprshXlivestreaming google calendar: https://calendar.google.com/calendar/u/1?cid=cDBtOGgxOG1waW92bTJxYzdpZmkzNmgwODhAZ3JvdXAuY2FsZW5kYXIuZ29vZ2xlLmNvbQSQL for tech and data science interviews course with 10 mock interviews: https://www.udemy.com/course/sql-for-tech-and-data-science-interviews/?couponCode=DF947818F15A561AE84E ($12.99 promotion until July 18th, 2021!) _____________________________________________________________________Other videos you might be interested inHow I would learn to code (if I could start over):https://youtu.be/MHPGeQD8TvIHow to self study technical things:https://www.youtube.com/watch?v=_EzmbCuoFcU______________________________________________________________________Subscribe: https://www.youtube.com/channel/UC2UXDak6o7rBm23k3Vv5dww/?sub_confirmation=1______________________________________________________________________Real SQL interview question walkthrough series: https://www.youtube.com/watch?v=Td-cmLfQ7uU&list=PLVD3APpfd1tuXrXBWAntLx4tNaONro5dA**Check out StrataScratch for SQL interview prep: https://stratascratch.com/?via=tina______________________________________________________________________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] If you're reaching out through linkedin, please leave a youtube comment just letting me know that you reached out :) ______________________________________________________________________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! :)#howitakenotes #datascience #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. ----------- Keywords: ai projects, artificial intelligence, tech tutorials, machine learning Learn more about your ad choices. Visit megaphone.fm/adchoices

Will this AI thing happen in the next 5 years?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/@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. If you represent Tina and would like to discuss this project, please don’t hesitate to get in touch. --------------- Keywords: ai safety, self study, ai development, tech insights Learn more about your ad choices. Visit megaphone.fm/adchoices

🐙 Building AI Agents Want to get resources from this livestream? Sign up here so I can email them to you: https://www.lonelyoctopus.com/workshop 🤝 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. ------------------------------- -------------- Keywords: open source ai, coding tips, ai safety, llm comparison, machine learning, career development, ai agents Learn more about your ad choices. Visit megaphone.fm/adchoices

Biology to Data Science (data professor's tips on how to get a data science research position)How did data professor transition from biology into data science? How do you get a research position with a professor? Will machine learning become automated? Where is data science headed in the future?I had the incredible opportunity to interview Chanin aka. Data Professor! He is a bioinformatics research professor that transitioned from biology to data science through his PhD. He's extremely knowledgeable and I think you guys will derive so much value from this video! :DP.S. Data professor actually is a real professor! P.P.S check out our collab video we did on data professor's channel: https://www.youtube.com/watch?v=OBsxUjQ7Ua0 _____________________________________________________________________ Timestamps: 00:00 Intro 01:14 Data professor's background 04:43 Birth of data professor! 11:04 Data science opportunity in biology 18:03 Machine learning is getting automated 18:35 How to future proof yourself 19:16 Data scientist's essential toolkit 22:43 How to get a research position with a professor 30:29 Super Secret Lightning round ______________________________________________________________________ Check out data professor's channel and links we mention in the video: Data professor's channel: https://www.youtube.com/channel/UCV8e2g4IWQqK71bbzGDEI4Q How to make a bioinformatics web app: https://www.youtube.com/watch?v=iZUH1qlgnys Strategies of learning data science: https://www.youtube.com/watch?v=7XdoaQYwTeA Data professor's article about data science process: https://towardsdatascience.com/the-data-science-process-a19eb7ebc41b Ken Jee's video different data roles: https://www.youtube.com/watch?v=BZFfNwj7JhE Best data science project: https://www.youtube.com/watch?v=2goqyY5XBeI&t=3s ______________________________________________________________________ Other channels to check out: Ken Jee: https://www.youtube.com/c/KenJee1/videos Codebasics: https://www.youtube.com/c/codebasics/videos Krish Naik: https://www.youtube.com/channel/UCNU_lfiiWBdtULKOw6X0Dig Andrew from Data Leap: https://www.youtube.com/c/DataLeapTech/videos ______________________________________________________________________ My backstory: I was pre-med with a specialist (equivalent of major) in pharmacology at the University of Toronto. I worked in bioinformatics for a year before doing my masters in computer science at the University of Pennsylvania (UPenn MCIT). I interned at Goldman Sachs and am now a full time data scientist at a FAANG company. ______________________________________________________________________ Contact: linkedin: https://www.linkedin.com/in/tinaw-h/ (preferred) email: [email protected] *I'm the fastest to respond on youtube, followed by linkedin (especially if you mention in a youtube comment that you messaged me)! Don't be a stranger ^^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. If you represent Tina and would like to discuss this project, please don’t hesitate to get in touch. --------- Keywords: tech insights, ai agents, ai learning, ai projects, ai safety, vibe coding, data science, self study Learn more about your ad choices. Visit megaphone.fm/adchoices

I Built an AI App to Make Manga (From Zero Art Skills) 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: programming, artificial intelligence, tech productivity, tech insights, tech interview, open source ai, ai agents, ai projects Learn more about your ad choices. Visit megaphone.fm/adchoices

The Most Important Skills To Learn In 2026 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: ai podcast, ai learning, gpt models Learn more about your ad choices. Visit megaphone.fm/adchoices

🐙 Everything about ClaudeWant to get resources from this livestream? Sign up here so I can email them to you: https://www.lonelyoctopus.com/workshop🤝 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=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! :)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. If you represent Tina and would like to discuss this project, please don’t hesitate to get in touch. --------- Keywords: ai safety, tech productivity, ai apps, tech career, vibe coding, llm comparison, coding tips Learn more about your ad choices. Visit megaphone.fm/adchoices

A day in the life of a data scientist (FAANG data scientist remote)This is a day in the life of a data scientist! I'm a FAANG data scientist currently working remotely due to the pandemic. This is a realistic day in my life. Hope you guys enjoy it! ______________________________________________________________________ How I learned SQL from Scratch in 11 Days to Pass my FAANG Data Science SQL Interview: https://www.youtube.com/watch?v=vaD3ZFFNwhM SQL Interview Question Walkthrough Series: https://www.youtube.com/playlist?list=PLVD3APpfd1tuXrXBWAntLx4tNaONro5dA ______________________________________________________________________ My backstory: I was pre-med with a specialist (equivalent of major) in pharmacology at the University of Toronto. I worked in bioinformatics for a year before doing my masters in computer science at the University of Pennsylvania (UPenn MCIT). I interned at goldman sachs and am now a full time data scientist at a FAANG company. ______________________________________________________________________ Contact: linkedin: https://www.linkedin.com/in/tinaw-h/ (preferred) email: [email protected] *I'm the fastest to respond on youtube, followed by linkedin! Don't be a stranger ^^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. If you represent Tina and would like to discuss this project, please don’t hesitate to get in touch. ------- Keywords: coding tutorials, career development, tech tutorials Learn more about your ad choices. Visit megaphone.fm/adchoices

Model Context Protocol (MCP) In 26 Minutes (no-code & code tutorial) 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/@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. If you represent Tina and would like to discuss this project, please don’t hesitate to get in touch. ----------- Keywords: tech tutorials, data science, tina huang, machine learning, ai podcast, ai apps, open source ai Learn more about your ad choices. Visit megaphone.fm/adchoices

How to choose between software engineering and data science | 5 Key ConsiderationsSoftware Engineering vs Data Science? Last year, I made a choice between a software engineering and a data science position. In this video, I outline 5 key considerations that helped me choose between software engineering and data science. Hopefully it helps you make the choice as well!🔗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=tinaGoogle Data Analytics Certificate on Coursera: https://bit.ly/33tYQYA🎥 My Filming Setup ======================== 📷 camera: https://amzn.to/3LHbi7N 🎤 mic: https://amzn.to/3LqoFJb 🔭 tripod: https://amzn.to/3DkjGHe 💡 lights: https://amzn.to/3LmOhqk📲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 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 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 :)📧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/@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. If you represent Tina and would like to discuss this project, please don’t hesitate to get in touch. ------------- Keywords: ai fundamentals, artificial intelligence, ai agents, tech career Learn more about your ad choices. Visit megaphone.fm/adchoices

Google's 9 Hour AI Prompt Engineering Course In 20 MinutesTry out a free trial with StraighterLine to save thousands on tuition: https://www.straighterline.com/bkIf you want to check out the full AI Prompting Essentials course 👉 https://imp.i384100.net/WyyJ1AI took Google’s AI Prompting Essentials course and here’s the cliff notes version if you also want to improve your AI prompt engineering skills! ✉️ NEWSLETTER: https://tinahuang.substack.com/ It's about learning, coding, and generally how to get your sh*t together c:🤖 AI Lunch & Learn series: https://www.lonelyoctopus.com/email-signup It's a FREE weekly 1hr livestream about AI & tech topics eg. How to build a GPT, how to build AI products, jobs in the era of AI etc.🐙 Lonely Octopus: https://www.lonelyoctopus.com/ Check it out if you're interested in learning AI & data skill, then applying them to real freelance projects!🤝 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=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! :)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. If you represent Tina and would like to discuss this project, please don’t hesitate to get in touch. -------- Keywords: ai podcast, ai projects, ai development, tech interview, ai fundamentals, gemini ai, chatbots Learn more about your ad choices. Visit megaphone.fm/adchoices

Building unhinged AI projects?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/@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. If you represent Tina and would like to discuss this project, please don’t hesitate to get in touch. --------- Keywords: ai learning, coding tips, tech interview, gemini ai Learn more about your ad choices. Visit megaphone.fm/adchoices

🐙 Lunch & Learn: AI News - iPhone for AI & Copilot ----------------------------------------------------🤖 Sign up here to get accompanying workbooks, summaries, and notifs for future lunch & learns: https://www.lonelyoctopus.com/email-signup✉️ NEWSLETTER: https://tinahuang.substack.com/ It's about learning, coding, and generally how to get your sh*t together c: 🐙 Lonely Octopus: https://www.lonelyoctopus.com/Check it out if you're interested in learning AI & data skill, then applying them to real freelance projects! 🔗Affiliates========================My SQL for data science interviews course (10 full interviews):https://365datascience.com/learn-sql-for-data-science-interviews/ 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📲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 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! :) 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. ------- Keywords: ai podcast, career development, ai projects, tech insights, self study Learn more about your ad choices. Visit megaphone.fm/adchoices