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Stanford's FREE Courses on AI & ML: ❯ CS221 - Artificial Intelligence ❯ CS229 - Machine Learning ❯ CS230 - Deep Learning ❯ CS234 - Reinforcement Learning ❯ CS336 - LLM from Scratch ❯ CS224N - NLP with Deep Learning All 11 course links inside:
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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.
Any deep learning people wanna connect ?
Python For Everything 🌐 Web Development 🔹 Python + Django = Full-stack, secure web applications 🔹 Python + FastAPI = High-performance APIs & microservices 🔹 Python + Flask = Lightweight & flexible web apps 🔹 Python + Jinja2 = Dynamic HTML templating 🤖 AI / Machine Learning 🔹 Python + Scikit-learn = Classical machine learning 🔹 Python + TensorFlow = Deep learning & neural networks 🔹 Python + PyTorch = Research-friendly deep learning 🔹 Python + Keras = Simple neural network modeling
Ever wondered how AI actually "sees"? 🧠✨ This is a real-time visualization of a Neural Network. Watch how it takes raw pixels from my finger, processes them through hidden layers of "neurons," and fires the final prediction. ⚡️ It’s not magic, it’s math. 🔢 #AI #NeuralNetworks #MachineLearning #Tech #Coding #Visualization #DataScience #HowItWorks #DeepLearning