Machine Learning

Machine learning is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed

What is Machine Learning?

Machine Learning is the science of getting computers to learn and act like humans do, and improve their learning over time in autonomous fashion, by feeding them data and information in the form of observations and real-world interactions.

Machine learning is the process that powers many of the services we use today—recommendation systems like those on Netflix, YouTube, and Spotify; search engines like Google and Baidu; social-media feeds like Facebook and Twitter; voice assistants like Siri and Alexa. The list goes on.

The benefits of Machine Learning

Product Recommendations `

ML algorithms use the customer's purchase history and match it with the large product inventory to identify hidden patterns and group similar products together.

Financial Analysis `

ML is already being used in finance for portfolio management, algorithmic trading, loan underwriting, and fraud detection.

Customer Lifetime Value Prediction`

ML and data mining can help businesses predict customer behaviors, purchasing patterns, and help in sending best possible offers to individual customers, based on their browsing and purchase histories.

Improving Cyber Security `

ML can be used to increase the security of an organization as cyber security is one of the major problems solved by machine learning.

Increasing Customer Satisfaction`

ML can help in improving customer loyalty and also ensure superior customer experience.

Ethics of Machine Learning


Identification of trends and patterns

Machine learning helps to manage a large amount of data and understand the trends and pattern that could have been not possible to manage that large amount of data by humans


No human interference is required

Because of the machine learning technique, we don’t need to assist our system or give it commands to follow certain instructions.


Continuous improvement

Consisting of a machine learning algorithm it helps the system to continuously understand the errors and result in rectification for those errors. Hence this increases efficiency and accuracy. `


To handle the multi-dimensional and large amount of data

The machine learning algorithm helps in managing and improving the multi-dimensional and large amount of data and improving their skills in having no errors in them with the help of AI technology

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