Maths for ML
Build the linear algebra and calculus intuition needed for machine learning.
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After this skill you can…
- Multiply matrices and compute dot products
- Understand derivatives and the chain rule intuitively
- Visualise high-dimensional vectors with tools like 3Blue1Brown
Watch (10 videos)
Rays and Spheres: The MATH! // Ray Tracing series
→ Apply mathematical concepts to ray tracing→ Understand ray tracing fundamentals
Variational Autoencoder [VAE] from scratch | Intuition + Coding
→ Implement a Variational Autoencoder from scratch→ Understand the intuition behind VAEs
Python NumPy Tutorial for Beginners
→ Create NumPy arrays→ Perform mathematical operations on arrays
Diffusion model (DDPM) PART 2 - Coding from scratch
→ Implement a diffusion model→ Generate images using DDPM
Solve for X Drill
→ Solve algebra equations→ Improve equation-solving skills
Using volume for missing side length (mixed numbers) | Khan Academy
→ Solve mathematical problems involving volume and mixed numbers→ Apply geometric concepts to real-world problems
Tile-based game Part 7: Mobs
→ Apply vector math to game development→ Implement direction vectors in a game
Visualizing the 4d numbers Quaternions
→ Visualize complex mathematical concepts→ Understand quaternions
Projeté orthogonal d'un point sur un plan
→ Calculate orthogonal projection of a point onto a plane→ Apply geometric transformations to 3D objects
Solving the heat equation | DE3
→ Solve differential equations→ Apply Fourier series
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