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Learn linear algebra in this course for beginners. This course covers the linear algebra skills needed for data science, machine learning, and AI, with a focus on practical applications and real-world examples. ✏️ Course developed by @LunarTech_ai Learn more linear algebra with this 25 hour course: ⭐️ Contents ⭐️ ⌨️ (0:00:00) Introduction to the course ⌨️ (0:08:30) Linear Algebra Roadmap for 2024 ⌨️ (0:27:50) Course Prerequisites ⌨️ (0:36:05) Refreshment: Real Numbers and Vector Spaces ⌨️ (0:40:18) Refreshment: Norms and Euclidean Distance ⌨️ (0:52:13) Why These Prerequisites Matter ⌨️ (0:54:40) Foundations of Vectors ⌨️ (1:03:22) Vector - Geometric Representation Example ⌨️ (1:25:35) Special Vectors ⌨️ (1:38:13) Application of Vectors ⌨️ (1:50:25) Vectors Operations and Properties ⌨️ (2:24:14) Advanced Vectors and Concepts ⌨️ (2:49:14) Length of a Vector - def and example ⌨️ (2:54:33) Length of Vector - Geometric Intuition ⌨️ (3:05:31) Dot Product ⌨️ (3:20:00) Dot Product, Length of Vector and Cosine Rule ⌨️ (3:34:00) Cauchy Schwarz Inequality - Derivation & Proof ⌨️ (3:48:11) Introduction to Linear Systems ⌨️ (4:03:53) Introduction to Matrices ⌨️ (4:20:02) Core Matrix Operations ⌨️ (5:00:41) Solving Linear Systems - Gaussian Elimination ⌨️ (5:29:59) Detailed Example - Solving Linear Systems ⌨️ (5:45:46) Detailed Example - Reduced Row Echelon Form (Augmented Matrix,REF, RREF) 🎉 Thanks to our Champion and Sponsor supporters: 👾 davthecoder 👾 jedi-or-sith 👾 南宮千影 👾 Agustín Kussrow 👾 Nattira Maneerat 👾 Heather Wcislo 👾 Serhiy Kalinets 👾 Justin Hual 👾 Otis Morgan 👾 Oscar Rahnama -- Learn to code for free and get a developer job: Read hundreds of articles on programming:
