3. Array Basics

Could we even do machine learning without arrays?

The answer is no. Arrays are essential to scientific computing, and mastering them is crucial for success in this field. You must learn to think in terms of arrays.

• 3.1. Arrays in Numpy
• 3.2. Broadcasting Examples
• 3.3. Dot Product
• 3.4. Matrix Multiplication
• 3.5. Solving Systems of Equations
• 3.6. Should You Directly Invert a Matrix in Numerical Methods? (Hint: almost always No)
• 3.7. Inversion for \(3\times3\) Matrices