Question

What is the result of successfully applying a Machine Learning (ML) algorithm to analyze data?​

Answer 1

Answer:

Machine Learning algorithms can predict patterns based on previous experiences. ... These algorithms find predictable, repeatable patterns that can be applied to eCommerce, Data Management, and new technologies such as driverless cars.

hope this helps you out dear

Answer 2

Answer:

Large volumes of data are used to train Machine Learning algorithms, allowing the "robot" to learn and anticipate issues and patterns.

Explanation:

• Based on previous experiences, machine learning algorithms can identify patterns.
• Machine Learning is a broad term that encompasses both robotics (acting with the physical world) and data processing (the computer's equivalent of thinking).
• These algorithms look for predictable, repetitive patterns that can be used in eCommerce, data management, and emerging technologies like self-driving cars.
• Machine Learning's full impact is only beginning to be realised, but it has the potential to substantially transform the way things are made and individuals make a living.
• Several Machine Learning methods can help automated Data Modeling programmes as well as improve Data Management, eCommerce, and robotics.
• machine learning algorithms are changing how everything from online product marketing to personalised search engines, and from self-driving cars to enhanced medical imaging is done.
• Machine Learning is increasingly being applied to all eCommerce, the Internet, and technology elements.

Hence, the machine learning algorithm is very useful in analyzing the data.  

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