The main idea of the recognition pattern of AI is that we’re using machine learning and cognitive technology to help identify and categorize unstructured data into specific classifications.

Big data analytics can make sense of the data by uncovering trends and patterns. Machine learning can accelerate this process with the help of decision-making algorithms.

It's possible to use machine learning to discern the mood of a song from its melody or to predict stock market trends based on historical data patterns.

To quickly sort through such a huge data set, they've turned to machine learning, a way of using computers to identify patterns and make predictions based on the information.

Algorithm updates like Google Panda are more understandable when you grasp the basics of machine learning. Here’s a simplified breakdown of how search engines are able to use machine learning for ...

However, machine learning just helps to identify patterns within data sets and thus tries to make predictions based on existing data. It is most important to check the plausibility and correctness ...

It's a commonplace of artificial intelligence to say that machine learning, which depends on vast amounts of data, functions by finding patterns in data. The phrase, "finding patterns in data," in ...