Recent Applications of Machine Learning: A Survey
Sujatha Kamepalli1, Bandaru Srinivasa Rao2

1Sujatha Kamepalli, Associate Professor, Department of  Income Tax, Vignan’s Foundation for Science, Technology & Research, Andhra Pradesh, India.

2Bandaru Srinivasa Rao, Associate Professor, Department of  Master of Business Administration, Vignan’s Foundation for Science, Technology & Research, Andhra Pradesh, India. 

Manuscript received on 10 April 2019 | Revised Manuscript received on 17 April 2019 | Manuscript Published on 02 June 2019 | PP: 263-267| Volume-8 Issue-6C2 April 2019 | Retrieval Number: F10510486C219/19©BEIESP

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Abstract: Machine Learning is an interesting research area in computer science which changes the thoughts of human to machines. It is mainly used for data analysis that plays a vital role in many application areas where more data is generated and need to turn that data into useful information. This paper focuses on different application domains of machine learning algorithms. The paper explains use of ML algorithms in various domains such as medical context, manufacturing, text processing in information retrieval, big data analytics, Internet of Things and in research etc. The paper focusses on different application domains where machine learning recently used for analyzing the data and for producing different patterns which are very useful in making decisions. In medical field the patterns are used for better diagnosis, in manufacturing they can be used for verifying the machine condition and also used for fault diagnosis. Big data analysis is the thrust research area where usage of machine learning models increases the performance. The machine learning algorithms not only used in these application areas they can also be used in different domains such as marketing, in financial sectors and other areas where we have more data and immediate need of turning that data into useful information. By using machine learning algorithms in these domains, we can do 100% accurate predictions.

Keywords: Artificial Intelligence, Machine Learning, IoT, Manufacturing, Big Data Processing, Medical Diagnosis.
Scope of the Article: Machine Learning