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This article is to share with you about what areas machine learning is often used in. The editor thinks it is very practical, so share it with you as a reference and follow the editor to have a look.

Machine learning is a universal data processing technology, which contains a large number of learning algorithms, and different algorithms can show different performance and advantages in different industries and applications. Application fields: financial field, Internet field, medical field, automation and robot field, biology field, game field, news field, criminal investigation field.

Machine learning as an engineering technology, before learning, readers must understand what problems this technical tool can solve, which related industries can be applied, and what are the existing successful technology applications, so as to stimulate learning enthusiasm.

Machine learning is a universal data processing technology, which contains a large number of learning algorithms, and different algorithms can show different performance and advantages in different industries and applications.

At present, machine learning has been successfully applied in the following areas:

Financial field: detection of credit card fraud, securities market analysis, etc.

Internet: natural language processing, speech recognition, language translation, search engine, advertising promotion, e-mail anti-spam filtering system and so on.

Medical field: medical diagnosis, etc.

Automation and robotics: self-driving, image processing, signal processing and so on.

Biological field: human gene sequence analysis, protein structure prediction, DNA sequence sequencing and so on.

Game field: game strategic planning and so on.

News field: news recommendation system and so on.

The field of criminal investigation: potential crime prediction and so on.

To sum up, it can be considered that machine learning is becoming an analysis tool often used in various industries, especially with the continuous increase of the amount of data in various fields, enterprises hope to get valuable information in the data by means of data analysis. in order to guide the development of enterprises and clear customer needs and so on.

Thank you for reading! This is the end of the article on "what areas are often used for machine learning". I hope the above content can be of some help to you, so that you can learn more knowledge. If you think the article is good, you can share it for more people to see!

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