Machine Learning
Definition
Machine Learning
A subset of artificial intelligence that enables systems to learn from data and improve their performance over time without explicit programming.
Types of Machine Learning
There are four main types of machine learning:
- Supervised Learning
- Unsupervised Learning
- Reinforcement Learning
- Deep Learning
Supervised Learning
- A type of machine learning where the algorithm is trained on a labelled dataset.
- The input data has the correct output associated with it.
- The goal of the algorithm is to learn the mapping between the input and the output so that it can predict the output for new unseen data.
- A supervised learning algorithm could be trained on a dataset of images of cats and dogs.
- Each image is labelled as either a cat or a dog.
- The algorithm learns to distinguish between cats and dogs by identifying patterns in the images.
- It uses this knowledge to classify new images as either a cat or a dog.
Unsupervised Learning
- A type of machine learning where the algorithm is trained on unlabelled data.
- The input data does not have the correct output associated with it.
- The goal of the algorithm is to discover patterns or relationships in the data without any guidance.
- An unsupervised learning algorithm could be used to group customers based on their purchasing behavior.
- The algorithm identifies patterns in the data and clusters customers with similar behavior together.
- This helps businesses target specific customer segments more effectively.
Reinforcement Learning
- A type of machine learning where an agent learns to make decisions by interacting with an environment and receiving feedback in the form of rewards or penalties.
- The goal of the agent is to maximize the cumulative reward over time by learning the best actions to take in different situations.
- A reinforcement learning algorithm could be used to train a robot to navigate a maze.
- The robot receives a reward for reaching the end of the maze and a penalty for hitting walls.
- By exploring the maze and learning from its mistakes, the robot eventually discovers the optimal path to the goal.
Deep Learning
- A subset of machine learning that uses artificial neural networks with multiple layers to learn complex patterns in data.
