What is machine learning?

Machine learning definition: A branch of AI trained on statistical models and algorithms, which enable it to make predictions and decisions. Using training and historical data, machine learning algorithms can improve and adapt over time, enriching its capabilities.

Machine learning relies on human engineers to feed it relevant, pre-processed data to continue improving its outputs. It is adept at solving complex problems and generating important insights by identifying patterns in data.

How does machine learning work?

Machine learning is an algorithm that enables computers and software to learn patterns and relationships using training data. A ML model will continue to improve over time by learning from the historical data it obtains by interacting with users.

What are the different types of machine learning?

The primary difference between various machine learning models is how you train them. Although, you can get similar results and improve customer experiences using models like supervised learning, unsupervised learning, and reinforcement learning.