Master linear algebra: theory and implementation in code

Course Name : Master linear algebra: theory and implementation in code
Students : 34,669
Duration : 34 hours & 3 downloadable resources
Avg Rating : 4.8 (4,684 ratings)
Original Price : $119.99
Discount Price : 100%OFF
Instructor / Provider : Mike X Cohen, Udemy
Course Type : Self Paced Online Course. Lifetime Access
Coupon : Click on ENROLL NOW to apply discount code

Frequently Bought Together

You’ll Learn How to:

• Linear Algebra Fundamentals: Understand key theoretical concepts, including proofs, with clear and comprehensible explanations.
• Practical Implementations: Learn to implement linear algebra concepts using MATLAB and Python, the tools used in real-world applications.
• Applications to Real Datasets: Apply linear algebra techniques to analyze and solve problems with real-world data.
• Exam Preparation: Gain the confidence and skills needed to excel in linear algebra exams.
• Modern Applications: Explore the practical, applications-oriented aspects of linear algebra and matrix analysis.
• Advanced Topics: Build confidence to tackle advanced topics, including diagonalization, eigendecomposition, and singular value decomposition.
• Geometric Intuition: Strengthen your understanding of linear algebra with visualizations using graphs, numbers, and spaces.
• Machine Learning Foundations: Understand the mathematical principles underlying machine learning and artificial intelligence.
• Multiple Explanations for Mastery: Learn through distinct and varied explanations of the same concepts, a proven method for deeper understanding.
• Core Topics Covered: Dive into vectors, matrix multiplication, least-squares projections, eigenvalues, eigenvectors, and singular-value decomposition.
• Scientific Programming Skills: Enhance your coding expertise in Python (using numpy, matplotlib, sympy, scipy) and MATLAB for scientific and data analysis tasks.

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