Matrices Courses and Certifications

Insights into Mathematics

The Stern-Brocot Tree, Matrices and Wedges - Real Numbers and Limits Math Foundations

Explore the Stern-Brocot tree's matrix and geometric representations, including wedges, for a deeper understanding of fractions and their relationships in mathematics.

• YouTube
• 34 minutes
• On-Demand
• Free Video

Insights into Mathematics

Arrays and Matrices - Data Structures in Mathematics Math Foundations | NJ Wildberger

Introduction to arrays and matrices as 2D data structures, exploring definitions, examples, and extending to 3D arrays. Distinguishes between arrays and matrices, offering a novel approach to linear algebra.

• YouTube
• 28 minutes
• On-Demand
• Free Video

Simons Institute

Matrix Data Structures

Explore efficient matrix data structures for fast algorithms, focusing on optimization techniques and their applications in computational mathematics.

• YouTube
• 1 hour 1 minute
• On-Demand
• Free Video

Excellence Academy

Matrices 2 - Finding Determinants and Inverses of Matrices

Learn to calculate determinants and inverses of 2x2 and 3x3 matrices, essential for JAMB Mathematics preparation. Master these fundamental matrix operations to enhance your problem-solving skills.

• YouTube
• 27 minutes
• On-Demand
• Free Video

Excellence Academy

Matrices: Addition, Subtraction, and Multiplication - JAMB Preparation

Master matrix operations: addition, subtraction, and multiplication for JAMB Mathematics. Enhance problem-solving skills with practical examples and expert guidance.

• YouTube
• 34 minutes
• On-Demand
• Free Video

The Organic Chemistry Tutor

How to Find the Area of a Triangle Using Matrices and Determinants

Learn to calculate triangle area using matrices and determinants in this concise precalculus tutorial, enhancing your mathematical problem-solving skills.

• YouTube
• 17 minutes
• On-Demand
• Free Video

Bases Matemáticas: Álgebra

55 reviews

En este curso se tratan los sistemas de ecuaciones, las matrices y cómo usarlas para resolverlos.

• edX
• 4 weeks, 3-4 hours a week
• On-Demand
• Free Online Course (Audit)

Introduction to R

8 reviews

Master the basics of data analysis in R, including vectors, lists, and data frames, and practice R with real data sets.

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

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)

Mastering Task Decomposition in Java

Master Java task decomposition techniques to break down complex coding problems into manageable components, from matrix operations to nested data structures and JSON parsing.

• CodeSignal
• On-Demand
• Free Certificate

Data Manipulation in R

Master data manipulation techniques in R using dplyr, from basic vector operations to advanced boolean selection, focusing on practical applications with real-world datasets.

• CodeSignal
• On-Demand
• Free Certificate

Introduction to Linear Algebra for Machine Learning

Master essential linear algebra concepts and operations needed for machine learning, from vectors and matrices to determinants and linear dependency, with hands-on Python implementation.

• CodeSignal
• On-Demand
• Free Certificate

Microcredential

Mathematical Foundations for Deep Learning

Master essential mathematical concepts - linear algebra, calculus, optimization, and statistics - to build a solid foundation for understanding and implementing deep learning algorithms effectively.

• CodeSignal
• On-Demand
• Free Certificate
• 5 courses

Mastering Task Decomposition in C#

Master essential techniques for breaking down complex coding problems into manageable sub-tasks, from analyzing logs to handling matrices and nested dictionaries in C#, with hands-on implementation practice.

• CodeSignal
• On-Demand
• Free Certificate

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