Five Machine Learning Types To Know
IBM News, Wednesday, December 20,2023
Machine learning (ML) technologies can drive decision-making in virtually all industries, from healthcare to human resources to finance and in myriad use cases, like computer vision, large language models (LLMs), speech recognition, self-driving cars and more.
However, the growing influence of ML isn't without complications. The validation and training datasets that undergird ML technology are often aggregated by human beings, and humans are susceptible to bias and prone to error. Even in cases where an ML model isn't itself biased or faulty, deploying it in the wrong context can produce errors with unintended harmful consequences.
That's why diversifying enterprise AI and ML usage can prove invaluable to maintaining a competitive edge. Each type and sub-type of ML algorithm has unique benefits and capabilities that teams can leverage for different tasks. Here, we'll discuss the five major types and their applications.