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Stanford's FREE AI & ML Courses: ❯ CS221 - Artificial Intelligence ❯ CS229 - Machine Learning ❯ CS230 - Deep Learning ❯ CS234 - Reinforcement Learning ❯ CS229M - ML Theory ❯ CS224U - NL Understanding ❯ CS224N - NLP with Deep Learning Course links inside:
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Free Courses on: 1. Artificial Intelligence + Data Analyst 2. Machine Learning + Data Science 3. Cloud Computing + Web Dev 4. Ethical Hacking + Hacking 5. Data Analytics + DSA 6. AWS Certified + IBM COURSE 7. Data Science + Deep Learning 8. BIG DATA + SQL COMPLETE COURSE 9. Python + OTHERS 10 MBA + HANDWRITTEN NOTES Link ⤵️
The next 10-20 years will be dominated by AI. If I was joining the race, here's what I'd focus on - Python - Machine learning & deep learning - Basic MLOps - LLMs - RAGs (Retrieval Augmented Generation) - Agentic AI What else would you add?
Say Hi if you’re into: • Data Science • Machine Learning • Python • SQL • Data Analytics • Deep Learning • NLP / CV / RL Let’s connect! 🤝 Need some good connection circle.
It's been 20 years since I left the fold, and sometimes I forget just how much I did to unravel the Christian nationalism I was brought up with. Overcoming religious trauma requires more than therapy - it requires rebuilding everything you've ever known about what it is to be a kind human. For me, that rebuilding required deep learning about multiple faith traditions, years of engagement in feminist community, and encountering the lived experience of folks from many walks of life. And more.
UC Berkeley Brings You Into Machine Learning For FREE. Understand Machine Learning step by step in 55 mins, you will learn • Types of Machine Learning • Unsupervised Learning • ML Pipeline • Models • Training
🤖 AI isn’t magic. It’s layers. 🚀 The AI Universe — explained in ONE visual. 🧠 Artificial Intelligence ⚙️ Machine Learning 🧩 Neural Networks 🔥 Deep Learning ✨ Generative AI Everything connects. Everything evolves. 1️⃣ Like ❤️ 2️⃣ Repost 🔁 3️⃣ Comment “UNIVERSE” 4️⃣ Follow @AiwithSydneyray for more Save this visual — it explains everything in seconds.
You don’t need deep learning for your first internship-level project.