achine learning+
TutorialsPricingTestimonialsDS Career Path
Sign inStart free

The roadmap, in 8 stages

  1. 01Programming for AI/ML9 courses
  2. 02Statistics and ML Algorithms11 courses
  3. 03MLOps12 courses
  4. 04Deep Learning6 courses
  5. 05Agentic AI10 courses
  6. 06Time Series Forecasting9 courses
  7. 07Industry DS Projects15 courses
  8. 08Special Topics13 courses

Start free

  • Foundations of Data Science
  • Core Python Programming

All-Access membership

All 85 courses, one membership

See plans and prices

Browse all coursesSee the map
achine learning+

Courses, in 8 stages

  1. 01Programming for AI/ML9 courses
  2. 02Statistics and ML Algorithms11 courses
  3. 03MLOps12 courses
  4. 04Deep Learning6 courses
  5. 05Agentic AI10 courses
  6. 06Time Series Forecasting9 courses
  7. 07Industry DS Projects15 courses
  8. 08Special Topics13 courses
  • Dashboard
  • Tutorials
  • Pricing
  • Testimonials
  • DS Career Path
Start freeSign in
  1. Courses
  2. Linear Algebra for Machine Learning
  3. Introduction

Angle between Vectors

Video · 3 min · Lesson 7 of 20

This lesson is part of All-Access

One membership opens all 85 courses. Members learn on our course site, edu.machinelearningplus.com, for now: sign in there with the same email.

See the plansContinue on our course siteWatch a free lesson
PreviousL1 and L2 NormNext lessonProjections and Unit Vector
Machine LearningLinear Algebra for Machine Learning

    1. Why Learn Linear Algebra?Free3 min
    2. Download Resources1 min
    3. Types of Tensors4 min
    4. Scalars6 min
    5. Vectors6 min
    6. L1 and L2 Norm5 min
    7. Angle between Vectors3 min
    8. Projections and Unit Vector3 min
    9. Basis, Orthogoanal and Orthonormal Vectors7 min
    10. Course Review1 min
    1. Types of Matrices3 min
    2. Matrix Operations15 min
    3. Orthogonal and Orthonormal Matrices5 min
    1. Equation of line, plane and hyperplane4 min
    2. Geometric interpretation of Weights vector3 min
    3. Equation of Circle, Sphere and Hyperplane4 min
    1. Eigenvalues and Eigenvectors7 min
    2. Eigen Decomposition3 min
    3. Singular Value Decomposition (SVD)7 min
    4. Principal Component Analysis (PCA)22 min

Get new articles, videos and live session news

Join 57,000+ fine folks. Stay as long as you’d like. Unsubscribe anytime.

achine learning+

Learn and master AI and data science.

We accept

Visa, PayPal, American Express, Mastercard and bank transfer

Roadmap

  • The complete roadmap
  • Programming for DS
  • ML algorithms
  • MLOps
  • Deep learning
  • Generative AI
  • Time series
  • DS industry projects
  • Supplementary courses

Offerings

  • All courses
  • All-Access membership
  • Course map
  • Tutorials
  • YouTube
  • 30-day DS interview prep
  • Task list for DS projects
  • Jobs

Company

  • About us
  • Testimonials
  • Contact us
  • Drop a query
  • Newsletter

© 2026 Machine Learning Plus. All rights reserved.

  • Privacy policy
  • Terms of service
  • Terms and conditions
  • Refund policy
  • Imprint