How To Take Machine Learning Notes In Notion…….
Machine Learning Notes
Overview
Machine learning is a subfield of artificial intelligence that involves training computer algorithms to make predictions or decisions based on data. Some common types of machine learning include:
- Supervised learning
- Unsupervised learning
- Reinforcement learning
Topics
Supervised Learning
Regression
Regression is a type of supervised learning where the goal is to predict a continuous output variable based on one or more input variables. Some common regression algorithms include:
- Linear regression
- Polynomial regression
- Ridge regression
- Lasso regression
Classification
Classification is a type of supervised learning where the goal is to predict a categorical output variable based on one or more input variables. Some common classification algorithms include:
- Logistic regression
- Decision trees
- Random forests
- Support vector machines
Unsupervised Learning
Clustering
Clustering is a type of unsupervised learning where the goal is to group similar data points together based on their characteristics. Some common clustering algorithms include:
- K-means clustering
- Hierarchical clustering
- DBSCAN
Dimensionality Reduction
Dimensionality reduction is a type of unsupervised learning where the goal is to reduce the number of input variables while preserving the important information in the data. Some common dimensionality reduction algorithms include:
- Principal component analysis (PCA)
- Singular value decomposition (SVD)
- t-SNE
Reinforcement Learning
Reinforcement learning is a type of machine learning where the algorithm learns to make decisions by interacting with an environment and receiving rewards or punishments for its actions. Some common reinforcement learning algorithms include:
- Q-learning
- SARSA
- Deep reinforcement learning
