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\n\nMachine learning (ML) is a subfield of Artificial Intelligence for the studying of algorithms that computer systems can use to derive knowledge from data.
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Machine learning algorithms are used to build mathematical models of sample data, known as \"training data\", in order to make predictions or decisions without being explicitly programmed to perform the task.
\nThere are three different types of machine learning algorithms:
\nMachine learning is a subset of AI, which is an umbrella term for any computer program that does something smart. In this blog, we focus on the use of machine learning for search engine optimization, natural language processing, knowledge graph and structured data.
\n\n
Jeff Dean, Senior Fellow, and SVP at Google announced the introduction of Pathways: a new AI architecture multi-tasking, multi-modal, and more efficient.
\nTo find out more about Google Pathways, check out our Web Stories here.
\n\n
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