Why Machine Learning Is Important?
f Machine Learning, Mobile Development,
Software Engineering etc are different arts of sword
fighting, competitive is the blade of your sword.
Not only has roughly 90 percent of the data created in
the last two years, but current data output is 2.5 quintillion bytes
of data daily.Only equipped with machine learning tools, we can process
this amount of data and gain meaningful insights.Also through data driven,
companies make better decisions with better financial gain.
Machine learning is based on the idea that machines can learn from data,
identify patterns and make decisions. It important because machine learning
models are able to independently adapt and have ability to automatically apply
complex mathematical calculations to huge amount of data multiple no of times
and much faster with iterations of development.
Supervised learning These algorithms are trained using labeled data, such as
an input where the desired output is known. For example, a set of experiments
could have observations labeled either “Success” or “Failure”. The learning
algorithm receives a set of inputs along with the corresponding correct outputs,
and it learns by comparing its own output with correct outputs to find errors.
It then modifies the model accordingly by reducing the error.