

Tina Huang
Ex-Meta data scientist turned internet personality, creating content about learning, coding, and AI.
Top 5 podcasts with Tina Huang
Ranked by the Snipd community

28 snips
Apr 11, 2024 • 52min
Upskill your career in AI
Tina Huang, Founder of Lonely Octopus, shares insights on incorporating AI into your career, unfair advantages, if AI will steal jobs, and more. They discuss the significance of practical AI skills, personalized study approaches, and adapting to AI in the job market.

Nov 1, 2024 • 50min
108: A very helpful beach
Sophie Ward, a science communicator with a popular YouTube channel, Julian Huguet, co-host of an absurd topics podcast, and Tina Huang, a data scientist known for her AI content, dive into fascinating discussions. They explore the historical significance of Mexico City's Angel of Independence while pondering the implications of seasonal academic challenges. The trio also humorously navigates through art appreciation, contrasting Veronese's Wedding Feast at Cana with the Mona Lisa, shedding light on overlooked masterpieces.

Apr 12, 2024 • 43min
How Fast is AI Innovation Really Happening? (Tina Huang) - KNN Ep. 187
Guest Tina Huang, AI content creator and entrepreneur, talks about AI innovation, content business growth, communication in relationships, trust in organizations, future of engineering, and implications of AI innovation in various sectors.

Feb 5, 2024 • 56min
AI for Education, Freelancing, Boosting Personal Productivity and more with Tina Huang
Tina Huang, founder of Lonely Octopus, shares AI insights for education, freelancing tips, and personal productivity strategies. Topics include leveraging AI in education, transitioning to freelancing in tech, balancing job changes, using YouTube for learning, and future AI market potential.

Apr 5, 2022 • 1h 5min
563: How to Rock at Data Science — with Tina Huang
Superstar data science YouTuber Tina Huang talks about key areas in data science, her five steps for consistency, day-to-day life at a tech company, computer science background, software languages used, SQL course benefits, traditional banking vs big tech, pharmacology impact on data science, and preparing for data science interviews