Machine learning (ML) is a type of artificial intelligence (AI) that allows computers to learn and improve from data without being explicitly programmed.?
- Data collection: Machine learning uses data from various sources, such as social media, customer portals, and smart sensors.?
- Data analysis: Machine learning algorithms analyze the data to find patterns and correlations.?
- Model creation: The patterns are used to create a data model that can make predictions.?
- Model training: The model is trained using a split of training and validation datasets.?
- Model evaluation: The model is assessed and optimized using relevant metrics.?
- Model deployment: The model is implemented in a production environment to make predictions.?
- Machine learning can improve the accuracy of predictions as it is exposed to more data.?
- Machine learning can help businesses drive growth, unlock new revenue streams, and solve problems faster.?
- Machine learning can be used in many applications, including healthcare, entertainment media, shopping carts, and homes.?
Types of machine learning
- Supervised machine learning: Machines are trained on labeled datasets to predict outputs.?
- Reinforcement machine learning: Machines learn as they go by using trial and error.?
