Deep Learning, Neural Networks, Support Vector Machine, Ensemble Learning, Unsupervised Learning
Below is an instruction that describes a task. Write a response that appropriately completes the request.

### Instruction:
Write 5 terms related to machine learning.

### Response:
Deep Learning, Neural Networks, Support Vector Machine, Ensemble Learning, Unsupervised Learning
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Here are 5 terms related to machine learning:

1. **Supervised Learning**: A type of machine learning where the algorithm is trained on labeled data, where the correct output is already known, and the goal is to learn a mapping between inputs and outputs.

2. **Neural Network**: A type of machine learning model inspired by the structure and function of the human brain, consisting of layers of interconnected nodes or "neurons" that process and transmit information.

3. **Gradient Descent**: An optimization algorithm used in machine learning to minimize the loss function by iteratively adjusting the model parameters in the direction of the negative gradient of the loss function.

4. **Deep Learning**: A subfield of machine learning that involves the use of multiple layers of artificial neural networks to analyze and interpret data, allowing for more complex and sophisticated modeling of complex systems.

5. **Feature Extraction**: The process of transforming raw data into a format that can be used by a machine learning model, such as converting text into numerical values or extracting relevant features from images, allowing the model to focus on the most important information.

These terms provide a basic understanding of various concepts in machine learning, from supervised learning to deep learning and feature extraction.