Machine Learning Foundations: Linear Algebra
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Description
This course provides an in-depth exploration of linear algebra, a key foundation for machine learning algorithms. It covers essential topics such as vector arithmetic, matrix properties, advanced operations, and matrix transformation, along with important algorithms. By the end of the course, you'll be ready to apply the principles of linear algebra to your machine learning projects, enhancing your understanding and implementation of these algorithms.
Learning Objectives
- Understanding data and big data phenomena.
- Learning about web technologies, cloud computing, and databases.
- Gaining insights into the data science process.
- Familiarizing with data science tools.
- Learning data cleaning and publishing techniques.
- Practicing data wrangling.
- Understanding data visualization principles.
- Exploring relational data visualization techniques.
- Using data visualization tools.
- Evaluating understanding of course material.