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Machine Learning (Areas (Data availability (Just over 3 billion people are…
Machine Learning
Areas
Data availability
Just over 3 billion people are online with an estimated 17 billion connected devices or sensors. [9] That generates a large amount of data which, combined with decreasing costs of data storage, is easily available for use.
Computing power
Powerful computers and the ability to connect remote processing power through the Internet make it possible for machine-learning techniques that process enormous amounts of data.
Algorithmic innovation
New machine learning techniques, specifically in layered neural networks – also known as “deep learning” – have inspired new services, but is also spurring investments and research in other parts of the field.
Advantages
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It is used in so many industries of applications such as banking and financial sector, healthcare, retail, publishing and social media, etc.
Defination
"Learning is constructing or modifying
representation of what is being experienced."
(Ryszard Michalski)
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Disadvantages
Machine learning has the major challenge called Acquisition. Also, based on different algorithms data need to be processed. And, it must be processed before providing as input to respective algorithms. Thus, it has a significant impact on results to be achieved or obtained.
As we have one more term interpretation. That it results is also a major challenge. That need to determine the effectiveness of machine learning algorithms.
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