Unlock the power of linear algebra in this comprehensive 7-hour masterclass, essential for anyone aspiring to excel in AI, data science, and cutting-edge technologies. Dive deep into the core concepts and applications of linear algebra that are pivotal for mastering the mathematical foundations required in high-tech fields today.
If you want to learn complete – one semester equivalent Linear Algebra course check out
our comprehensive “Fundamentals to Linear Algebra 26+h course” as part of our LunarTech Unlimited Access plan, which will give you access to not just this but also other courses like Machine Learning, Data Science, and Deep Learning courses.
Subscribe for Free ๐ https://academy.lunartech.ai/product/fundamentals-to-linear-algebra
๐ข๐ง Master the Math Behind Data Science and AI in 2024
This comprehensive roadmap introduces linear algebra concepts and techniques essential for building cutting-edge machine learning models.
Key Features:
๐ Structured Learning: Progress from foundational concepts to advanced techniques, including metric factorization and projections.
๐ Practical Focus: Understand how linear algebra powers algorithms used in data science, AI, and generative AI.
๐ฎ 2024 Relevance: Stay ahead of the curve with a roadmap tailored to the latest developments in the field.
Ideal For:
๐ก Aspiring data scientists and AI professionals
๐ช Anyone seeking to strengthen their grasp of the math behind machine learning
๐จ Launch Your Data Science Career with LunarTech.AI! ๐จ
Try Free: https://bit.ly/lunartech-signup
๐ Free Resources:
– Machine Learning Fundamentals Handbook: https://join.lunartech.ai/machine-learning-fundamentals
– How to Land Your Dream Data Science Internship: https://join.lunartech.ai/data-science-internship–4e6b5
๐ฅ๏ธ Resources and Courses to get into Machine Learning
– Fundamentals to Machine Learning Course: https://bit.ly/lunartech-signup
– Fundamentals to Statistics Course: https://bit.ly/lunartech-signup
– Python for Data Science Course: https://bit.ly/lunartech-signup
– Introduction to NLP Course: https://bit.ly/lunartech-signup
– Deep Learning Interview Prep Course (100 Q&A’s Part 2): https://bit.ly/lunartech-signup
๐ค Meet Your Instructor: Tatev Aslanyan
๐ Powered by: https://lunartech.ai/
๐ Connect with Us:
LunarTech on LinkedIn: https://www.linkedin.com/company/lunartechai/
Tatev Aslanyan: https://www.linkedin.com/in/tatev-karen-aslanyan/
Vahe Aslanyan: https://www.linkedin.com/in/vahe-aslanyan/
[00:00:00] – Introduction to the course
[00:08:30] – Linear Algebra Roadmap for 2024
[00:27:50] – Course Prerequisites
[00:28:05] – Refreshment: Real Numbers and Vector Spaces
[00:31:18] – Refreshment: Norms and Euclidean Distance
[00:41:13] – Why These Prerequisites Matter
[00:45:00] – Foundations of Vectors
[00:50:00] – Vector – Geometric Representation Example
[01:15:51] – Special Vectors
[01:28:01] – Vector Application Example
[01:40:25] – Vectors Operations and Properties
[02:24:14] – Scalar Multiplication Application Example
[02:31:14] – Scaling Multiplication – Geometric Intuition
[02:39:31] – Dot Product, Geometric Interpretation, Examples
[03:06:00] – Understanding Dot Product and Similarity Measure
[03:24:00] – Cauchy Schwarz Inequality – Derivation & Proof
[03:37:00] – Introduction to Linear Systems and Matrices
[04:10:02] – Core Matrix Operations
[05:18:41] – Solving Linear Systems – Gaussian Elimination
[05:23:00] – Detailed Example – Solving Linear Systems
[05:45:46] – Detailed Example – Reduced Row Echelon Form (Augmented Matrix, REF, RREF)
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