Search results for #MathForML
Phase 2: Mathematical Intuition 📐 Time: 2–6 hrs No PhD needed! Build intuition, not memorization. Watch🔗youtube.com/watch?v=BZYuCW… Then🔗youtube.com/watch?v=1VSZtN… Goal: Understand the "why" behind ML. Don’t stress if it’s fuzzy! #MathForML
Can someone confirm my explanation of 2x2 matrix multiplication? #MathForML
- Dimension = number of basis vectors 💻 In PyTorch: torch.linalg.matrix_rank(mat) # dimension of span 💡 Insight: More vectors ≠ higher dimension — redundancy keeps you in the same space. github.com/akrisanov/infe… #LinearAlgebra #PyTorch #BackendToAI #MathForML
✨ What is the Dot Product & why it matters in ML Multiply matching vector elements ➕ sum them up: A · B = |A||B|cos(θ) 🔹 Measures similarity 🔹 Powers neural nets, attention, and cosine similarity Tiny math → big insights! #Day77 of #NeuralNetworkJourney #MathForML…
Just found @geogebra — one of the best tools I’ve seen for understanding math visually. Super helpful for grasping ML topics like vectors, functions, and calculus. 🔗 geogebra.org Definitely worth checking out! #MathForML #GeoGebra #LearnInPublic
Day 54 #MyDataScienceJourney: Covered equations of lines, 3D planes, and hyperplanes, plus how to find a point’s distance from a plane. Also explored instance-based vs. model-based learning in ML—fascinating to see how model either memorize or generalize!#LearnInPublic #MathForML
🧠 Solving A·X = B in ML 🔹 Matrix Inverse: X = A⁻¹·B (only if A is invertible) 🔹 Gaussian Elimination: Systematically reduces equations → solution This math powers linear regression, optimization & neural nets! #Day75 of #NeuralNetworkJourney #MathForML #AI #LinearAlgebra…
Math for ml day 3 Today i've learned math induction, and now i'm going to learn trigonometry #mathforml
🧾 Matrix Form of Systems in ML A system like: 2x + 3y = 5 4x + y = 6 Becomes: 👉 A·X = B Where A = coefficients, X = variables, B = outputs Fast, scalable — perfect for machine learning! #Day74 of #NeuralNetworkJourney #AI #ML #MathForML #LinearAlgebra #Matrices
🚀 Milestone: Finished training in Statistics, Calculus & Algebra—the math powering ML! Excited to use these skills to build smarter models and explore real-world projects. Next: hands-on ML! #MachineLearning #AI #MathForML
🧮 How is Algebra used in Machine Learning? It’s the foundation: 🔹 Equations model relationships (like y = mx + b) 🔹 Vectors & matrices represent data 🔹 Solving systems = optimizing models ML = data + math + logic 💡 #Day72 of #NeuralNetworkJourney #ML #AI #MathForML #Algebra
Stop wondering why your model’s not improving, it's not stuck, it's just converging slowly. 📘 Understand the math behind the motion → landing.packtpub.com/mathematics-of… #LinearityOfConvergence #MathForML #100DaysOfMathematicsOfML
Today's ML math grind: • Got comfy with linear independence • Explored Matrices - Different types • Practiced coefficient labeling in systems of equations Slowly but surely building the foundation 💪📐 #MLjourney #MathForML
Wrapped up Eigenvalues & Eigenvectors today 🔥 Feels wild to finally understand how they power so many ML concepts. Almost at the end of my Linear Algebra journey — let’s go! 🚀 #MathForML #MachineLearning #LinearAlgebra #BuildInPublic #LearnInPublic #AI #MLCommunity
Why is RREF so crucial? It's the bedrock for solving linear systems efficiently, a skill directly applied in countless ML algorithms. Understanding it demystifies matrix operations and empowers your analytical journey. #MathForML #AI #DeepLearning
Day 3 of Learning AI/ML 🤖📚 🔹 Python: input() function • Shopping Cart 🛒 • Love Calculator 💘 (random.uniform()) 🔹 Math: Matrix basics (Linear Algebra) Loving the grind! #100DaysOfAI #Python #MathForML
Day 2.5 of #100DaysOfAI 📈 Before building ML models, master the math behind them! This playlist covers Linear Algebra, Calculus & Probability—explained in a simple way. Must-watch for beginners. 🎯 🔗 youtube.com/playlist?list=… #MathForML #MachineLearning #AI
Me: I’ll just “start” this ML Math course Also me: Finishes it in a day, earns 670 XP, unlocks badge Brain: Now loading eigenvectors... #MLMathr #MathForML #GrindSet 🧠💪
اكتشف أهم قراءات مايو لمهندسي التعلم الآلي! من الرياضيات الأساسية إلى بروتوكولات الوكلاء، تجد كل ما تحتاجه لتعزيز معرفتك. اقرأ المزيد هنا! #MachineLearning #DataScience #MathForML #LLMs
