Glossary

Machine Learning

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What is Machine Learning?

Machine learning, like human people, uses data and algorithms to imitate the working environment. Machine Learning can analyze enormous amounts of data quickly and detect trends and patterns.

Machine learning enables incredible efficiency in processing millions of datasets while delivering accurate and exact findings.

Machine learning is a critical component of the rapidly expanding discipline of data science. Algorithms are taught using statistical approaches to produce classifications or predictions and to find critical insights in data mining operations. These insights then influence decision-making within applications and enterprises, ideally influencing key growth indicators. As big data expands and grows, so will the market demand for data scientists. They will be expected to assist in identifying the most pertinent business questions and the data to address them.

What are the business benefits of Machine Learning?

  • Machine Learning can efficiently process large volumes of data and identify trends and patterns.

  • Machine Learning by its very nature continues to improve over time and become more efficient and accurate.

  • Machine Learning easily manages and analyses complex and large data sets which may not be so easy for humans.

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