Africoz/ML-maths-africa

We will Revolutionise the way MODERN Maths being taught to general population to use A. I. # ML-maths-africa "We will Revolutionise the way MODERN Maths being taught to general population to use A. I." # Day 01 - Systems of Linear Equations (ML-Math Africo) ## What You Learn Today - What are systems of linear equations? - Real-life metaphors to understand them. - How they apply to machine learning. - Hands-on Python code to solve them. --- ## **Metaphor - The Restaurant Order Problem** Imagine 3 friends order 3 meals (rice, chicken, drink). Each meal has a different price, but the waiter forgets individual prices. All they know is the **total bill for each person**. | Person | Rice | Chicken | Drink | Total Bill | |---|---|---|---|---| | A | 1 | 1 | 1 | ₹150 | | B | 2 | 1 | 0 | ₹200 | | C | 0 | 1 | 2 | ₹170 | This is a **system of equations**. --- ## **How This Connects to ML?** - Linear Regression training often solves such systems. - Many ML algorithms need to find "weights" that fit data — exactly solving a system. - Deep learning also involves solving linear systems in matrix form. --- ## **Code Example - Solving with Python (Numpy)** The notebook contains code that solves such systems using matrix operations. Open the notebook to try it in Google Colab. --- ## **Why This Matters?** - Understanding these basic building blocks will make advanced ML math (like matrix factorization, regression, PCA) super easy. - This is our first stepping stone in the 30-day ML Math Africo journey! --- ## **Next Day Teaser - Matrices** Tomorrow we expand into matrices and how they power all of ML!