What is Data Annotation? Data annotation in machine learning is the process of labeling the data, accompanied with notes on how it should be used. It is often done so that there can be an understanding of what information this particular data has related to the problem. Types of Data Annotation There are 2 main […]
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Overview Artificial intelligence, or AI, is the use of computers to simulate human intellectual abilities. Its history dates back to the 1940’s when Alan Turing proposed that intelligent machines could be created through code. Today it is one of the most transforming technologies that has emerged in our society and continues to evolve exponentially. There
Training data is critical in machine learning as it helps machines to learn and make the predictions. A typical example is a program that identifies and filters spam email. The quality and quantity of training data determines the accuracy and performance of machine learning models. Therefore, if the quality of machine learning training data sets is not good or accurate,
How Much Training Data is Enough for Machine Learning Algorithms? Read More »
