Adaptation: Over time, ML systems can adapt to changes and learn from new data.Pattern Recognition: ML is great at identifying patterns or regularities in data.Algorithms: Machine Learning operates based on specific algorithms that define and guide the learning process.Data-driven: ML models improve their performance by consuming more and more data. Here are some key features of Machine Learning: In the example given, teaching a computer to ride a bike involves feeding it tons of data about riding so that, over time, the computer learns to ride on its own. It’s akin to data-driven self-education for machines. Machine Learning (ML) Machine Learning is a subset of AI that involves teaching computers to learn and act without being explicitly programmed.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |