What is Machine Learning?

What is Machine Learning ??

What is Machine Learning ??

  1. Machine learning is an application of artificial intelligence that provides systems the ability to do automatically learn and improve from experience without being explicitly programmed. Machine learning focuses on the development of computer programs that can access data and use it to learn for themselves.
  2. The process of learning begins with observations or data, such as examples, direct experience, or instruction, in order to look for patterns in data and make better decisions in the future based on the examples that we provide. The primary aim is to allow the computers learn automatically without human intervention or assistance and adjust actions accordingly.

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  3. Machine learning is a branch of artificial intelligence (AI) and computer science which focuses on the use of data and algorithms to imitate the way that humans learn, gradually improving its accuracy.

    Machine learning is a method of data analysis that automates analytical model building. It is a branch of artificial intelligence based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention.

  4. Machine learning is a subfield of artificial intelligence, which is broadly defined as the capability of a machine to imitate intelligent human behavior. Artificial intelligence systems are used to perform complex tasks in a way that is similar to how humans solve problems.

Research History Says, Arthur Samuel coined the term Machine Learning in 1959. He defined it as “The field of study that gives computers the capability to learn without being explicitly programmed”. Machine Learning is a subset of Artificial Intelligence and it allows machines to learn from their experiences without any coding.

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Nagendra Prasad Krishnam

Mr. Nagendra Prasad, MBA, M.Phil., PhD, has vast experience and expertise in the field of Business Management, Learning & Development, Training, Classroom Training, Virtual Training, Research & Development, Academic Content, and Training Content at Various Organizations, Academic Institutions and Expertise in Research Data Analysis including Primary Data and Secondary Data

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