Linear Algebra for Data Science and Machine Learning
- Extra Resources
- Section 1
- Section 2
- Section 3
- Section 4
- Section 5
- BONUS
What you'll learn
- Basics of Linear Algebra for Machine Learning & Data Science
- Scalar & Vector Arithmetic
- Linear Equations
- Matrices - Tensors
Description
LINEAR ALGEBRA for DATA SCIENCE & MACHINE LEARNING COURSE DESCRIPTION
Why Learn Linear Algebra?
Sets
Linear Equation Systems
What is a Scalar?
Scalar & Vector Arithmetic
Vector Addition and Subtraction
Scalar Multiplication of Vectors
Dot & Cross Product
Dot Product Linear Algebra Style
Vector Subspace
Linear Combinations of Vectors
Span
Linear Dependence and Independence
Solving Systems of linear equations
Linear Equation Example
Generating Set and Basis
Linear Mapping/Linear Transformation
Additivity
Homogeneity
Kernel
Matrices - Tensors
Matrix Multiplication
Range of a Matrix
Kernel of a Matrix
Determinant of a Matrix
Identity , Transpose and Inverse Matrix
Eigenvector and Eigenvalue
WHY LINEAR ALGEBRA?
Linear algebra is absolutely key to understanding the calculus and statistics you need in machine learning and data science.
If you can understand machine learning methods at the level of vectors and matrices you will improve your intuition for how and when they work.
A deeper understanding of the algorithm and its constraints will allow you to customize its application and better understand the impact of tuning parameters on the results.
THE OPPORTUNITIES YOU WILL HAVE WITH THIS COURSE
In-class support: We don't just give you video lessons. We have created a professional Python Programmer team and community to support you. This means that you will get answers to your questions within 24 hours.
WHO WE ARE: DATAI TEAM ACADEMY
DATAI TEAM is a team of Python Programmers and Data Scientists.
Let's register for the course and start to Linear Algebra for Data Science & Machine Learning.
The University of Sheffield
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About the instructors
- 4.04 Calificación
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Datai Team Academy
Artificial Intelligence & Data Science
Artificial Intelligence & Data Science
We combine the lessons that we have prepared with our interest and expertise on Python, Data Science, Machine Learning, Deep Learning and Artificial Intelligence with real life examples. In addition, we encourage you to share your work with the world to extend the knowledge you have learned beyond the basic level.
Thanks to our success on the Kaggle platform, a subsidiary of Google, we teach you professional and world class quality certified lessons.
Add the courses you need to your library now and let's get started!
Student feedback
3.95
Course Rating
Reviews
Eli Emanuel
19-06-2023
The course was too brief to be substantial.
Meri Mustapić
19-06-2023
hard to understand clearly the language, poorly explained, messy
Adham Abdelhameed Elsharkawy
19-06-2023
Accent is very difficult to follow
Reilly Morris
19-06-2023
The course indicated it was appropriate for beginners, but the content - while simplified - is more than the basics. It was great up to the definitions of scalar and vector (which was eye openingly cool), but after that started to become increasingly complicated.
Yasmin Muhammad Elias
19-06-2023
Oustanding course for the foundation basis of Data Science. Amazing Illustrations and carries every bit of detail needed for the fundamental Basis of Mathematics in Linear Algebra. The instructor has covered the course comprehensively, clearly, and in a very systematic approach and leadership in Linear Algebra.