Vector Operations Courses and Certifications

Vector and Matrix Operations with NumPy

Master essential vector and matrix operations in NumPy, from basic arithmetic to advanced techniques like matrix inversion, while building practical linear algebra skills for data manipulation.

• CodeSignal
• 3 hours
• On-Demand
• Free Certificate

Vector and Matrix Operations with R

Master essential vector and matrix operations in R including addition, subtraction, multiplication, and inversion through hands-on linear algebra practice.

• CodeSignal
• 3 hours
• On-Demand
• Free Certificate

Linear Algebra - Foundations to Frontiers

15 reviews

Learn the mathematics behind linear algebra and link it to matrix software development.

• edX
• 15 weeks, 6-10 hours a week
• On-Demand
• Free Online Course (Audit)

Medicosis Perfectionalis

Splitting a Vector into Its Components - Vector Addition, Subtraction, Multiplication, Right-Hand Rule

Explore vector components, addition, subtraction, multiplication, and the right-hand rule. Learn to apply Pythagorean theorem and trigonometric functions in vector analysis for physics applications.

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

Valerio Velardo - The Sound of AI

Vector and Matrix Operations

Explore essential linear algebra concepts for neural networks: vectors, matrices, and operations like scalar manipulation, dot product, and matrix multiplication.

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

Linear Algebra Refresher Course

Learn linear algebra by doing: you will code your own library of linear algebra functions!

• Udacity
• 7 hours
• On-Demand
• Free Online Course

Dot Physics

Vector Operations in Physics: Addition, Subtraction, and Component Analysis - Problem 61

Master vector operations and calculations through step-by-step solutions of real physics problems, including component analysis, vector addition, and angle determination.

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

Dot Physics

Electrodynamics - Review of Vectors and Vector Operations

Master vector fundamentals including components, addition, scalar multiplication, unit vectors, dot/cross products, and VPython calculations for electrodynamics.

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

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
• 3 hours
• On-Demand
• Free Certificate

Easy Interview Coding Practice in C++

Master fundamental C++ coding interview concepts through hands-on practice with string manipulation, vector operations, math algorithms, and recursive problem-solving techniques.

• CodeSignal
• 3 hours
• On-Demand
• Free Certificate

Interview Practice with Classic Coding Questions in C++

Master essential coding interview patterns through hands-on practice with matrices, arrays, strings, and sorting algorithms in C++. Build confidence solving technical challenges and optimizing solutions.

• CodeSignal
• 3 hours
• On-Demand
• Free Certificate

The AI University

Machine Learning and Deep Learning Maths - Matrix and Vector Operations

Explore essential matrix and vector operations for machine learning and deep learning using Python, covering creation, manipulation, and mathematical computations.

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

Mathematical Foundations of Machine Learning

8232 ratings at Udemy

Essential Linear Algebra and Calculus Hands-On in NumPy, TensorFlow, and PyTorch

• Udemy
• 16 hours 26 minutes
• On-Demand
• Paid Course

MATLAB Programming Simulink: Beginner to Pro with ChatGPT

1001 ratings at Udemy

MATLAB Programming Course: Simulation, Programming Code, and Simulink Programming for Comprehensive Learning

• Udemy
• 9 hours 36 minutes
• On-Demand
• Paid Course

Statistics with Python Using NumPy, Pandas, and SciPy

Master statistical techniques with Python, using NumPy, Pandas, and SciPy for data science problems. Explore vector operations, probability, data distributions, linear relationships, and statistical inference.

• Coursera
• 19 hours 31 minutes
• On-Demand
• Paid Course