Eigenvectors Courses and Certifications

Mathematics for Machine Learning: Linear Algebra

9 reviews

Explore linear algebra fundamentals and their applications in machine learning, covering vectors, matrices, eigenvalues, and practical implementations in Python for data-driven tasks.

• Coursera
• 18 hours 50 minutes
• On-Demand
• Free Online Course (Audit)

Learn how to calculate eigenvalues and eigenvectors and why they are important for AI applications.

• Udacity
• 1 week
• On-Demand
• Free Online Course

Navigating Data Simplification with PCA

Master dimensionality reduction techniques using Principal Component Analysis (PCA) with Python's Scikit-learn, from basic concepts to practical implementation in machine learning projects.

• CodeSignal
• On-Demand
• Free Certificate

Linear Algebra: Matrix Algebra, Determinants, & Eigenvectors

41 ratings at Coursera

Develop matrix algebra techniques, study determinants, and explore eigenvectors to analyze linear transformations. Apply concepts to Markov chains and Google PageRank algorithm.

• Coursera
• 14 hours 53 minutes
• On-Demand
• Free Online Course (Audit)

MIT - A 2020 Vision of Linear Algebra, Spring 2020

1 review

Professor Strang presents a fresh approach to linear algebra, focusing on matrices. This concise series covers key concepts like column space, orthogonality, eigenvalues, and solving linear systems.

• YouTube
• 1 hour 30 minutes
• On-Demand
• Free Video

Linear Algebra

Master matrix theory and linear algebra, exploring systems of equations, vector spaces, determinants, eigenvalues, and applications in various disciplines. Gain practical skills for solving complex mathematical problems.

• MIT OpenCourseWare
• On-Demand
• Free Online Course

A Vision of Linear Algebra

Explore Professor Strang's innovative approach to linear algebra, covering key concepts like column space, eigenvalues, and matrix factorizations through a series of concise, insightful videos.

• MIT OpenCourseWare
• On-Demand
• Free Online Course

Numerical Methods Applied to Chemical Engineering

Explore advanced numerical methods for solving complex chemical engineering problems, including heat transfer, fluid mechanics, and molecular simulation. Gain practical skills in computational techniques.

• MIT OpenCourseWare
• On-Demand
• Free Online Course

Essential Linear Algebra for Data Science

154 ratings at Coursera

Learn essential linear algebra concepts for data science, focusing on practical applications without unnecessary proofs. Covers matrices, linear systems, and key properties, preparing you for advanced statistical modeling.

• Coursera
• 7 hours 48 minutes
• On-Demand
• Free Online Course (Audit)

Linear Algebra Basics

Explore vector spaces, linear transformations, eigenvalues, and matrix decompositions. Gain essential mathematical foundations for machine learning and data science applications.

• Coursera
• 21 hours 9 minutes
• On-Demand
• Free Online Course (Audit)

Linear Algebra III: Determinants and Eigenvalues

13 ratings at edX

This course takes you through roughly three weeks of MATH 1554, Linear Algebra, as taught in the School of Mathematics at The Georgia Institute of Technology.

• edX
• 3 weeks, 5-6 hours a week
• On-Demand
• Free Online Course (Audit)

Microcredential

Applications of Linear Algebra

1 review

Explore advanced linear algebra concepts and their applications in data science, engineering, and computer graphics. Gain practical skills in matrix operations, eigenvalues, and singular value decomposition.

• edX
• 6 weeks, 5-6 hours a week
• On-Demand
• $398.00
• 2 courses

Become a Linear Algebra Master

5778 ratings at Udemy

Learn everything from Linear Algebra, then test your knowledge with 400+ practice questions

• Udemy
• 15 hours 53 minutes
• On-Demand
• Paid Course

Complete linear algebra: theory and implementation in code

4712 ratings at Udemy

Learn concepts in linear algebra and matrix analysis, and implement them in MATLAB and Python.

• Udemy
• 1 day 9 hours 46 minutes
• On-Demand
• Paid Course

Linear Algebra for Data Science in R

This course is an introduction to linear algebra, one of the most important mathematical topics underpinning data science.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available