Ask ChatGPT: "Given everything you know about me, tell me about a major blind spot in my life that I don't yet know about, but really should."
EDUCATION
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Vibe Coding Tips for Beginners: From Simple Apps to Deployment
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As more non-techies dive into vibe coding, here are some tips: •Start with simple apps → vibe code → deploy
•Move to complex ones: editing, DBs, APIs
•Set a custom domain, and start getting users Whenever you fail or find yourself going in circles, start fresh.
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Stanford AI Workshop for Social Sector Leaders
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Are you part of a team looking to integrate AI into your mission, work, or impact? This workshop by @StanfordHAI and @stanforddschool brings together leading expertise from Stanford to empower social sector leaders in shaping AI’s future with intention, responsibility, and human
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CS Degrees Disconnect From Real Work Requirements
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ehhh… based on my exp, CS degrees are optimized for student suffering or some odd hyper-purist decisions that is completely disconnected from work reality
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Continuous Learning Key in Evolving AI World
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La formation en continue est clé dans un monde en mutation Anne Laure.
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Haskell Before Python: Programming Language Learning History
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haskell before python is wild we had haskell and prolog and a few other crazy ones early on too but procedual stuff was first at least i wonder if the logic is that it mirrors nicely the math you learn at the same time
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AI Labs and Human-Machine Collaboration Transform Corporate Learning
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Apprendre avec l’IA
63 % des leaders misent sur des AI Labs et le “test & learn”.
Fini les cours classiques, place à la collaboration homme-machine ! c/
@KPMG_France @alb1604 @nelbro @MichaGUERIN @aure79lien @ArnaultChatel @mallys_ @arielSTRABONI @laurentvg @BelalaC -
Fast.ai: A Powerful Foundation for Dedicated AI Learners
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http://
fast.ai can be a pretty amazing foundation for folks willing to put in the time and effort to learn, like @Suhail
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12 Essential Machine Learning Algorithms You Should Know
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Want to build real ML solutions? Here are 12 essential #MachineLearning algorithms you should know: 1. Naive Bayes
2. SVM
3. Decision Trees
4. K-Means
5. Linear/Logistic Regression
6. PCA
7. Random Forest
8. Q Learning
9. Dimensionality Reduction
…and more! Save this -

India Launches AIKosh National AI Dataset Repository Initiative
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@OfficialINDIAai
, @GoI_MeitY invites Expressions of Interest (EOI) from academic institutions, startups, NGOs, think tanks, and industries to contribute non-personal, anonymised, India-specific datasets to #AIKosh — the national AI dataset repository. Why contribute?