MathematicsLesson 45Free preview
Mathematics
This lesson is part of A.I. · All levels
Summary
Machine learning focuses on several branches of mathematics, especially linear algebra, calculus, and statistics. Linear algebra is used to represent data and weights as vectors and matrices, calculus helps calculate gradients during training, and statistics is used to interpret data. Understanding the basics of mathematics makes us able to read how AI models work.
Key points
- Linear algebra becomes the basis of data representation and model weight.
- Calculus is used to calculate gradients for optimization.
- Statistics and probability are used to interpret and evaluate data.
- The whole AI process runs on simple numbers operations repeated.
Full lesson
Code examples and quizzes
Full lessons, code examples, and quizzes are available to subscribers. 5 questions.