linear-algebra-expert
CommunityMaster linear algebra, power data science & ML.
Data & Analytics#data science#machine learning#mathematics#eigenvalues#svd#matrices#vector spaces#linear algebra
Authorsandraschi
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill provides expert knowledge in linear algebra, clarifying concepts like vector spaces, matrices, and eigenvalues, crucial for data science and machine learning. It helps users understand the mathematical foundations of algorithms, enabling efficient data manipulation and model building, saving time on complex calculations.
Core Features & Use Cases
- Matrix Operations: Understand matrix multiplication, determinants, and inverses.
- Eigenvalues & Eigenvectors: Learn to calculate and interpret these fundamental properties.
- Matrix Decompositions: Explore SVD, LU, and QR decompositions and their applications.
- Use Case: Implementing a Principal Component Analysis (PCA) or understanding the mechanics of neural networks? This Skill can explain the underlying linear algebra concepts, such as eigenvalues for dimensionality reduction or matrix multiplication for layer operations.
Quick Start
Explain a concept
"Explain eigenvalues and eigenvectors."
Ask for a decomposition
"Describe the Singular Value Decomposition (SVD) and its uses."
Inquire about properties
"What are the properties of matrix determinants?"
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: linear-algebra-expert Download link: https://github.com/sandraschi/advanced-memory-mcp/archive/main.zip#linear-algebra-expert Please download this .zip file, extract it, and install it in the .claude/skills/ directory.