| Algorithm | Use cases |
|---|---|
| Linear regression | Predicting house prices, predicting sales numbers, forecasting demand |
| Logistic regression | Predicting whether a customer will click on an ad, predicting whether a patient has a disease, predicting customer churn |
| Decision tree | Classifying spam emails, predicting loan defaults, predicting medical diagnoses |
| Random forest | Classifying images, predicting fraud, recommending products |
| Support vector machine (SVM) | Classifying text documents, detecting cancer cells in medical images, face recognition |
| Naive Bayes | Classifying spam emails, predicting sentiment of product reviews, filtering spam messages |
| K-nearest neighbors (KNN) | Classifying images, recommending products, predicting customer churn |
| K-means clustering | Segmenting customers, identifying groups of similar products, detecting fraud |
| Q-learning | Training robots to walk and navigate, training game-playing agents, training agents to control complex systems |
| Neural networks | Image classification, object detection, natural language processing, machine translation |
Here are some specific examples:
- Linear regression: Zillow uses linear regression to predict house prices.
- Logistic regression: Credit card companies use logistic regression to predict fraud.
- Decision tree: Medical researchers use decision trees to predict patient outcomes.
- Random forest: Amazon uses random forests to recommend products to customers.
- Support vector machine (SVM): Google uses SVMs to filter spam messages.
- Naive Bayes: Spam filters use Naive Bayes to classify emails as spam or not spam.
- K-nearest neighbors (KNN): Netflix uses KNN to recommend movies and TV shows to users.
- K-means clustering: Marketers use K-means clustering to segment customers into different groups.
- Q-learning: AlphaZero, a game-playing AI developed by DeepMind, uses Q-learning to learn how to play chess, Go, and shogi.
- Neural networks: Tesla uses neural networks to power its self-driving car technology.
- Natural language processing: Google Translate uses neural networks to translate text from one language to another.