Reinforcement Learning
A process that uses rewards and punishments to teach machines how to do new tasks, improving with practice and feedback.
Reinforcement Learning : Squark Glossary of Terms
- Area Under the Curve or AUC
- Artificial Intelligence (AI)
- Artificial Neural Networks (ANNs)
- Big Data
- Black Box Algorithms
- Classification
- Clustering
- Coefficients
- Computer Vision
- Confusion Matrix
- Data Science
- Date Factoring
- Decision tree
- Deep Learning
- Embodied AI
- Ethical AI
- Explainable AI (XAI)
- Few-shot Learning
- Generative Adversarial Networks (GANs)
- Leaderboard
- Linear Algebra
- Logloss
- Machine learning
- Max F1
- Mean Absolute Error or MAE
- Mean Per Class Error
- Mean Square Error or MSE
- Natural Language Processing
- Pragmatic AI
- Predictive Analytics
- Regression
- Reinforcement Learning
- Residual Deviance
- Root Mean Square Error or RMSE
- Root Mean Square Logarithmic Error or RMSLE
- SMOTE
- Squark
- Supervised Learning
- Time Series Forecasting
- Transfer Learning
- Unsupervised Learning
- Variable Importance
- Weak AI