College Level Advanced Linear Algebra! Theory & Programming!

Linear Algebra (matlab - python) & Matrix Calculus For Machine Learning, Robotics, Computer Graphics, Control, & more !
4.57 (410 reviews)
Udemy
platform
English
language
Math
category
College Level Advanced Linear Algebra! Theory & Programming!
6 477
students
35 hours
content
Nov 2020
last update
$19.99
regular price

Why take this course?

🎉 Course Title: College Level Advanced Linear Algebra! Theory & Programming!


🚀 Headline: Linear Algebra (Matlab - Python) & Matrix Calculus For Machine Learning, Robotics, Computer Graphics, Control, & More! 🎓


Dive Deep into the World of Linear Algebra with Ahmed Fathy, MSc

Why This Course?

  • Comprehensive Coverage: From Matrix Calculus to Robotics, from Control Systems to Computer Graphics, this course takes you on a journey through the applications of linear algebra.
  • Real-World Applications: Learn how Linear Algebra underpins Machine Learning, Deep Learning, Control Systems, Game Development, and Pure Mathematical Concepts.
  • Expert Instructor: Ahmed Fathy, a seasoned Machine Learning Scientist at Affectiva and an experienced university teacher, brings years of knowledge and practical experience to your learning.
  • Hands-On Approach: Gain proficiency in both Matlab and Python, the two leading tools for computational linear algebra.
  • Interactive Learning: Engage with solved examples, thoughtful exams, and interactive visualizations.
  • Extensive Resources: Access detailed proofs, theories, and applications to deepen your understanding of advanced linear algebra.

Course Highlights:

  • Diverse Applications: Explore the role of Linear Algebra in various fields including Machine Learning, Robotics, and Computer Graphics.
  • Programming Skills: Master linear algebra concepts by applying them in Matlab and Python programming exercises.
  • Mathematical Solidity: Develop a strong foundation in Linear Algebra with both the theoretical and practical perspectives covered.

What You'll Learn:

  • Singular Value Decompositions to Principal Component Analysis 📊
  • Systems Of Linear Equations to Systems Of Differential Equations 🀫
  • Inverses, Pseudo Inverses, Determinants, and Positive Definiteness ✅
  • Proofs to Visualizations 🎬
  • Theory to Applications 🚀

Course Structure:

  • Interactive Lectures: Engage with video lectures that cover all the fundamental concepts.
  • Programming Assignments: Apply your knowledge through programming tasks in both Matlab and Python.
  • Solved Examples: Understand complex concepts by working through detailed examples.
  • Visualizations: See linear algebra concepts come to life with interactive visual tools.
  • Quizzes & Exams: Test your understanding and retention of the material covered.

Your Instructor: Ahmed Fathy, a passionate educator with a Master's degree in Computer Science, has years of experience teaching complex subjects involving Linear Algebra. Currently working as a Machine Learning Scientist at Affectiva, Ahmed brings real-world applications and practical problem-solving techniques to this course.

Course Materials:

  • Access to comprehensive notes and resources.
  • Downloadable materials for your convenience.
  • Interactive exercises to test your knowledge in real-time.

Join a Community of Learners: Embark on this journey with fellow students who share your passion for advanced linear algebra. Collaborate, discuss, and grow together! 🤝


🎥 Don't Miss Out: Watch the promo video to get a glimpse of what this course offers. For a detailed outline of the course content, scroll down and explore all that awaits you!

🎉 Enroll Now & Transform Your Understanding of Linear Algebra! 🎉

Remember, suggestions for additional topics are encouraged as we strive to make this course as comprehensive as possible. Join us today and elevate your expertise in Linear Algebra with a twist of programming prowess!

Course Gallery

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1914608
udemy ID
15/09/2018
course created date
21/11/2019
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