Machine learning is not just a single technology; it can be any of a variety of algorithms. However, there are two broad categories – supervised or unsupervised learning – depending on whether there is a learning signal or feedback available to a learning system. DATAVERSITY brought this interesting information to our attention in their article, “Machine Learning Algorithms: Introduction to Random Forests.”
The most powerful form of machine learning being used today, deep learning, builds a complex mathematical structure called a neural network based on vast quantities of data. Whichever you choose to use, they each have their own strengths and weaknesses. This is why the machine learning community is so valuable – they are open to sharing ideas and research to help you make the most informed decision.
The concept that a computer program can learn and adapt to new data without human interference makes machine learning a field of artificial intelligence that keeps a computer’s built-in algorithms current regardless of changes in the worldwide economy.
Melody K. Smith
Sponsored by Access Innovations, the world leader in thesaurus, ontology, and taxonomy creation and metadata application.
