Tech Angel X
by Ricki Angel
Learning Resources
Dive deeper into data structures and machine learning
Linear Algebra Basics
Understanding vectors, matrices, and their operations
Key Topics:
- Vector addition
- Matrix multiplication
- Dot products
- Transformations
Machine Learning Fundamentals
How data structures power ML algorithms
Key Topics:
- Feature vectors
- Training datasets
- Weight matrices
- Neural networks
Data Representation
Real-world applications of tensors
Key Topics:
- Image data (RGB)
- Time series
- Batch processing
- Multi-dimensional arrays
Deep Learning
Tensors in neural networks
Key Topics:
- Tensor operations
- Backpropagation
- Gradient descent
- PyTorch & TensorFlow
Recommended Learning Path
1
Start with Scalars
Understand single values and basic operations
2
Move to Vectors
Learn about one-dimensional arrays and feature representation
3
Explore Matrices
Understand two-dimensional data and transformations
4
Master Tensors
Tackle multi-dimensional data in deep learning