This course was last updated on 11/2020.
We analyzed factors such as the rating (4.9/5) and the ratio between the number of reviews and the number of students, which is a great signal of student commitment.
✓ Gain Deep Understanding Of Linear Algebra Theoretically, Conceptually & Practically.
✓ Obtain A Very Robust Mathematical Foundation For Machine & Deep Learning, Computer Graphics, And Control Systems.
✓ Learn How To Use Both Python And Matlab For Solving & Visualizing Linear Algebra Problems.
✓ [Matrix Calculus] Learn How To Differentiate & Optimize Complex Equations Involving Matrices.
✓ Learn A Lot About Data Science, Co-variance Matrices, And The PCA.
✓ Learn About Linear Regression, The Normal Equation, And The Projection Matrix.
✓ Learn About Singular Value Decompositions Formally & Conceptually.
✓ Learn About Inverses And Pseudo Inverses.
✓ Learn About Determinants And Positive Definite Matrices.
✓ Learn How To Solve Systems Of Linear, Difference, & Differential Equations Both By Hand And Software.
✓ Learn About Lagrange Multipliers & Taylor Expansion.
✓ Learn About The Hessian Matrix And Its Importance In Multi-variable Calculus & Optimizations.
✓ Learn About Complex Transformation Matrices Like The Matrix To Perform Rotation Around An Arbitrary Axis In 3D.
✓ And Much More ! This is a 34+ hours course !
• Be familiar with Linear Algebra basics such as Vectors, Matrices, Dot Products, Cross Products, and Systems Of Linear Equations.
• For some of the advanced topics presented, I might require you to know some specific topics like partial differentiation or Laplace transform. However, you can easily skip those topics and still completely understand the subsequent sections.
• Anyone Interested In Linear Algebra, especially, but not limited to, in the context of computer engineering, computer science, or data-science.
• Anyone Interested In Machine Learning & Deep learning.
• Anyone Interested In Computer Graphics & Game Development.
• Anyone Interested In Classical Control Systems & Robotics.
• Anyone Interested To know how to use python & matlab for Linear Algebra.
• Anyone Interested In Linear Algebra Theories, Concepts, And Proofs.
The course costs $17.99. And currently there is a 82% discount on the original price of the course, which was $99.99. So you save $82 if you enroll the course now.
YES, College Level Advanced Linear Algebra! Theory & Programming! has a 30-day money back guarantee. The 30-day refund policy is designed to allow students to study without risk.
Ahmed Fathy, MSc has created 6 courses that got 815 reviews which are generally positive. Ahmed Fathy, MSc has taught 39,109 students and received a 4.4 average review out of 815 reviews. Depending on the information available, we think that Ahmed Fathy, MSc is an instructor that you can trust.
MSc, Deep learning scientist @ Affectiva & Instructor
My name is Ahmed Fathy. I have a master’s degree in deep-learning, and I am currently a machine learning scientist at Affectiva, applying deep-learning multimodal techniques to human emotion recognition, and previously a teaching assistant at Ain-Shams University, Cairo, Egypt. On Campus, I used to teach highly variant subjects to students, including Deep Learning, Pattern Recognition, Computer Graphics, Computer Architecture, Basic and advanced programming, Linear Algebra, Design Patterns, Compilers, Control Systems, and Game Development.
