Fundamentals to Linear Algebra
20h 53m 19s
English
Paid
Course description
Unleash the power of linear algebra to conquer the world of data science, machine learning, and artificial intelligence. This intensive course will transform you into a master of mathematics, ready to tackle real-world challenges with practical skills and unwavering confidence.
Watch Online
0:00
/ #1: Welcome Message
All Course Lessons (35)
| # | Lesson Title | Duration | Access |
|---|---|---|---|
| 1 | Welcome Message Demo | 14:18 | |
| 2 | Linear Algebra RoadMap 2024 | 19:12 | |
| 3 | Pre-Requisites Introduction | 09:03 | |
| 4 | Refreshment - Norms & Euclidean Distance | 10:31 | |
| 5 | Refreshment - Real Numbers and Vector Space | 04:14 | |
| 6 | Refreshment - Cartesian Coordinate System & Unit Circle | 04:45 | |
| 7 | Refreshment - Angles, Unit Circle and Trigonometry | 13:24 | |
| 8 | Refreshment - Pythagorean Theorem & Orthogonality | 05:25 | |
| 9 | Why these Pre-Requisites Matter | 02:28 | |
| 10 | Module 2.1: Foundations of Vectors | 30:55 | |
| 11 | Module 2.2: Special Vectors and Operations | 56:53 | |
| 12 | Module 2.3: Part 1 - Scalar Multiplication | 25:06 | |
| 13 | Module 2.3 Part 2 - Linear Combination and Unit Vectors | 47:10 | |
| 14 | Module 2.3 Part 3 - Span of Vectors | 40:06 | |
| 15 | Module 2.3: Part 4 - Linear Independence | 31:53 | |
| 16 | Module 2.4: Dot Product, Cauchy-Schwarz Inequality and Its | 01:29:45 | |
| 17 | Module 1: Foundations of Linear Systems and Matrices | 16:50 | |
| 18 | Module 2: Introduction to Matrices | 30:01 | |
| 19 | Module 3: Core Matrix Operations | 35:01 | |
| 20 | Module 4: Part 1 Solving Linear Systems - Gaussian Reduction | 47:23 | |
| 21 | Module 4: Part 2 Solving Linear Systems - Gaussian Reduction | 01:07:47 | |
| 22 | Module 4: Part 3 Solving Linear Systems - Gaussian Reduction | 01:10:00 | |
| 23 | Module 4: Part 4 Solving Linear Systems - Gaussian Reduction | 53:47 | |
| 24 | Module 1: Algebraic Laws for Matrices | 56:31 | |
| 25 | Module 2: Determinants and Their Properties | 50:52 | |
| 26 | Module 3: Matrix Inverses and Identity Matrix | 01:03:32 | |
| 27 | Module 4: Transpose of Matrices: Properties and Applications | 23:15 | |
| 28 | Module 1: Part 1 Basis of Vector Space | 35:39 | |
| 29 | Module 1: Part 2 Vector Projection and Calculation | 41:12 | |
| 30 | Module 1: Part 3 Gram-Schmidt Process | 36:53 | |
| 31 | Module 2: Special Matrices and Their Properties | 14:39 | |
| 32 | Module 3: Matrix Factorization, Examples and Applications | 27:03 | |
| 33 | Module 4: QR Decomposition Overview | 42:52 | |
| 34 | Module 5: Eigenvalues, Eigenvectors, and Eigen Decomposition | 01:16:31 | |
| 35 | Module 6: Singular Value Decomposition (SVD) | 58:23 |
Unlock unlimited learning
Get instant access to all 34 lessons in this course, plus thousands of other premium courses. One subscription, unlimited knowledge.
Learn more about subscriptionComments
0 commentsWant to join the conversation?
Sign in to commentSimilar courses
The Complete Apache Kafka Practical Guide
Sources: udemy
This is the most complete practical Apache Kafka guide that includes tons of practical activities. Most important is that you'l learn how Apache Kafka works and
8 hours 38 minutes 15 seconds
Understanding Cognitive Biases
Sources: Wondrium by The Great Courses, Alexander B. Swan
Understand how your brain’s efficiency shortcuts can leave you with a biased view of the world and learn how to combat these tendencies in your everyday life. A
10 hours 51 minutes 35 seconds
Lightspeed Deployments
Sources: newline (ex fullstack.io)
This workshop is a continuation of the courses "Overnight Fullstack Applications" and "How To Connect, Code & Debug Supabase With Bolt." In the recording of...
16 minutes 45 seconds
Team Dynamics and Soft Skills for Developers | Don’t Imitate
Sources: Anthony Alicea
Whether you've learned software development at a school, bootcamp, online, or are entirely self-taught, there is one key aspect to being a developer that you we
5 hours 8 minutes 46 seconds