Machine Learning and its Application

Posted By : Rohitesh Rawat | 29-Dec-2017

Machine learning is a field of computer science and is a type of artificial intelligence that allows the software applications to learn without being explicitly programmed. In machine learning, algorithms are built to receive the input data and the output value is predicted using statistical analysis.

 

Machine learning algorithms are basically of two types:

 

1- Supervised: In this algorithm, both input and the desired output is required along with feedback regarding the accuracy of predictions. Supervised algorithms are used for simpler processing tasks.

 

2- Unsupervised: In this algorithm, there is no need to be trained with desired outcome data. An iterative approach called deep learning is used to form a conclusion by reviewing data. Unsupervised learning algorithms are used for more complex processing tasks unlike Supervised algorithms, which are used for simpler processing tasks.

 

To understand machine learning better, let us see an example of Facebook.

 

Facebook uses machine learning in their ‘News feed’ feature. The more frequently user stops to read or like a particular post of his/her friend, the more 'News feed' of that friend will start to show. The News Feed is populated on identifying the pattern in the user's data on using predictive and statistical analytics and is adjusted accordingly when the user no longer reads or likes his/her friend's posts.

 

Below are some of the applications of Machine Learning:

 

1- Financial Services: A lot of banks and businesses uses machine learning to prevent frauds and help the investors know when to trade.

 

2- Healthcare: This helps medical experts to analyze data from wearable sensors and devices which in turn leads to improvised diagnoses.

 

3- Sales and Marketing: Analysing buying history to recommend better items.

 

4- Detecting internet and credit card frauds

 

5- Application in Linguistics

 

6- Application in Insurance

 

7- Handwriting recognition

 

8- Translation

 

9- Speech recognition

 

 

About Author

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Rohitesh Rawat

Rohitesh is an expert in Agile methodologies, specializing in Scrum. He possesses a wide range of skills, including proficiency in Jira, MongoDB, planning, scoping, process creation and management, and QA. Over the years, he has led the successful delivery of several offshore projects, including Konfer, Virgin Media, HP1T, and Transleqo. Rohitesh holds certifications as a Certified Scrum Master (CSM) and Project Management Professional (PMP) and has a comprehensive understanding of the entire Project Life Cycle (PLC).

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