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The ultimate AI/ML roadmap for beginners 👇 𝗠𝗮𝘁𝗵𝘀 What to learn: • Linear Algebra • Calculus • Statistics Resources: • Practical Statistics for Data Science( https://amzn.to/446czl5 ) • Mathematics for Machine Learning( https://amzn.to/441s

Hi everyone , if you are a beginner in Data Science or wish to start , then this post is for you. Linear Regression is one of the first things you need to learn in ML. It is not just about the code . Code is not the important thing, you can make Chat

Day 1 of learning mathematics for AI/ML as a no math person. Topic: linear algebra (points and vectors). I had recently learn python as a beginner with a main goal of exploring AI/ML and Robotics (which also requires me to learn C++). I have divide

Day 1 of learning mathematics for AI/ML as a no math person. Topic: linear algebra (points and vectors). I had recently learn python as a beginner with a main goal of exploring AI/ML and Robotics (which also requires me to learn C++). I have divide

Hey folks! I'm looking for suggestions on a roadmap for learning Mathematics in AI/ML. I'd really appreciate any resources, materials, or YouTube channels you've personally used and found helpful. It would mean a lot to get some guidance from those a

🧠 From Linear Thinking to Non-Linear Solutions: My ML Journey Just wrapped up a major milestone in my data science learning - transitioning from Logistic Regression to Support Vector Machines through Krish Naik's bootcamp. 🔍 The Learning Curve: Log

I am thinking of creating app, through which students can take pre recoded courses of creators, not like edtech startups focusing on exams. The topics will be like AI, ML, Blockchain, Robotics and etc.. Because this is the time to teach Youth about

Tell me Ideas DEEP IT Projects I'd love to hear your innovative project ideas, focusing on DEEP IT only. We're looking to collaborate on an open-source project, and the best idea will be the one we all rally behind. Our preferred tech stack incl

AI Resources for Beginners YouTube Channels: 1. Andrei Karpathy - Provides accessible insights into machine learning and Al through clear tutorials, live coding, and visualizations of deep learning concepts. 2. Yannick Kilcher - Focuses on Al rese

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