Machine Learning

• A branch of Artificial Intelligence based on the idea that systems can learn from the data, identify patterns and make decisions with minimal human intervention.

Useful Python Libraries for Machine Learning

• scikit-learn – Open source ML libraries
• Numpy – To store and manipulate data with multidimensional arrays
• pandas – Higher level data manipulation
• matplotlib – Visualize quantitative data

Types of Machine Learning

1. Supervised Learning
   • Classification
     • Binary
     • Multiclass
   • Regression
2. Unsupervised Learning
   • Clustering
   • Dimensionality Reduction for Data Compression
3. Reinforcement Learning

Basic Terminology and Notation

• Basic concepts of linear algebra
  • Matrices
  • Vectors
  • Matrix multiplication
  • Transposing
• linalg_notes.pdf (cmu.edu)

Roadmap for Building ML Systems