Summary
LinkedIn's new hiring tool aims to address the challenges businesses face with employee retention. The platform claims that companies using LinkedIn Hiring Pro are 24% less likely to reopen a position within a year, suggesting that the tool can help ensure that new hires are a better fit from the start. This comes in response to the frustrations many employers experience when new hires fail to show up or leave shortly after starting, which can delay important projects.
In a separate discussion, the podcast delves into effective study techniques leveraging neuroscience and AI tools. It emphasizes the importance of understanding how memory works, likening it to a dynamic city rather than a static bookshelf. Techniques such as increasing physiological arousal through movement, setting artificial deadlines, and connecting learning material to emotional stories are highlighted as ways to enhance focus and retention.
The conversation also touches on the role of dopamine in motivation, suggesting that engaging in challenging tasks can boost motivation levels. Additionally, the use of AI applications like ChatGPT is recommended for creating study plans and generating content, making the study process more efficient. Overall, the episode presents a blend of practical advice for both hiring and effective learning strategies.
Show Notes
How To Learn Things FAST
Want to get ahead in your career using AI? Join my FREE workshop: https://www.lonelyoctopus.com/workshopCheck out Hubspot's FREE ChatGPT bundle to work & study faster: https://clickhubspot.com/uqaIn this video I go through techniques on how to self study quickly! ✉️ 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-signupIt'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.
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🐙 1M Celebration x Hackathon 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. ----------------------
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The data science resume that got me my FAANG (MANGA?) job (entry level data scientist)In this video, I go through the resume that got me into FAANG as a data scientist. The resume is the key to getting that interview, which is definitely the hardest part of the entire application process for a data scientist. Our role is super popular but actual positions few and far between. That's why I spent A LOT of time on this resume to get my foot in the door. We're going to go through this line by line and item by item as I go into the details and roast it hard. Sit back and enjoy! :)📜My resume: https://drive.google.com/file/d/1RS06YjcV4GoxZD0EOI3chzw9UgH20o4F/view?usp=sharing🔗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📲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! :)#DataScience #DataScienceResume #TinaHuangFollow 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.