Machine Learning (ML)
A computer system that learns and adapts without explicit instructions, by using algorithms and statistical models to analyze and draw inferences from patterns in data.
- AI and Data Scientist Roadmap
- Standford Recommender Systems Chapter 9
- Data Preparation and Feature Engineering in ML | Machine Learning | Google for Developers
- Data Preparation
Different Types of ML
Some types of machine learning
- Supervised Learning
- Unsupervised Learning
- Semi-Supervised Learning
- Reinforcement Learning
- Inductive Inference
- Active Machine Learning
- Online Machine Learning
- Transfer Machine Learning
— From 7. Machine Learning Tasks and Types
ML Metrics
- Confusion Matrice
- Calculate the ’Accuracy’
- Sensitivity (percentage correctly found)
- Specificity (percentage correctly rejected)
Source: MIT - ML Introduction