Advance math study guide

[HackyRoot]

Need to add more concept with more visualization
For more details: [Prerequisites of MLCC[(https://developers.google.com/machine-learning/crash-course/prereqs-and-prework#prerequisites)

List of topics (but not limited to):

1. Algebra

• Variables, coefficients, and functions
• Linear equations
• Logarithms, and logarithmic equations
• Sigmoid function

2. Linear Algebra

• Tensor and tensor rank
• Matrix multiplication

3. Trigonometry

• Tanh (used as an activation function)

4. Statistics

• Mean, median, outliers, and standard deviation
• Histogram

5. Calculus

• The concept of a derivative
• Gradient or slope
• Partial derivatives
• Chain rule (for a full understanding of the backpropagation algorithm for training neural networks)