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Your brain doesn't just need caffeine. It also needs constant exposure to: Linear Algebra Probability & Statistics Optimization Machine Learning Theory Deep Learning Information Theory Reinforcement Learning If you're looking for a mix of those things, this account is for you.
Dear Algorithm, bring me the women who study the mind because they had to survive it. The ones learning about trauma, the brain, and consciousness just to understand themselves. The thinkers. The observers. Sit with me here.
The only roadmap to go from 0 to ML/AI Expert Stage1 – Python + NumPy/Pandas Stage2 – Linear Algebra + Calculus Stage3 – SQL + PySpark Stage4 – ML Fundamentals (Scikit-learn) Stage5 – Implement ML in a Project Stage6 – Deep Learning (PyTorch 2.0) Stage7 – Computer Vision (YOLOv9) Stage8 – NLP + Transformers + RAG Stage9 – MLOps (Kubeflow/MLFlow) Stage10 – Agentic AI (AutoGen/LangGraph) Stage11 – Production (Ray + Vertex AI) Follow this roadmap to succeed!
AI Skills To Learn, Notes 🗒️ For more content, follow @meet_kanth #ai #notes #generativeai #pythonprogramming #engineering
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.
5 BEST Free Resources to Learn Prompt Engineering in 2026: 1. OpenAI Documentation https://developers.openai.com/api/docs/guides/prompt-engineering/ 2. Anthropic Prompting Guide anthropic.skilljar.com 3. DeepLearningAI Short Courses deeplearning.ai/short-courses/ 4. Hugging Face Learn huggingface.co/learn 5. Papers with Code paperswithcode.com
Dear algo , Please connect me with the deep thinkers and deep feelers. The ones on a real healing journey. People learning to live outside of survival mode. Trauma survivors. Late-diagnosed neurodivergent people. Highly sensitive people. Empaths and compassionate souls who still show up for others while healing themselves. Bring me the deep connections. The deep souls. The ones who feel everything and are finally learning that was never the problem. Please and thank you.
I recently came across an MIT AI & Machine Learning course, and the best part? It’s completely FREE.(You can Also download this course) No prior knowledge required. No prerequisites. You’ll learn: • Artificial Intelligence fundamentals • Machine Learning concepts • Deep Learning basics • Hands on practical implementation • Real world problem solving To get this, 1)Follow + Like 2)Comment “ML”
BREAKING: MIT just mass released their Al library for free. (Links included) Here's the full list of books: Foundations 1. Foundations of Machine Learning - lnkd.in/gytjT5HC 2. Understanding Deep Learning - lnkd.in/dgcB68Qt 3. Machine Learning Systems - lnkd.in/dkiGZisg Advanced Techniques 4. Algorithms for ML - algorithmsbook.com
MIT has released a full course on Deep Learning for FREE. If you want to understand how Generative AI works feel free to watch these videos.