Machine learning as its name suggests is/are the method/s in which machines can learn to perform on their own. In fact, these are the applications of several learning methods of artificial intelligence (AI) and smart adaptive algorithms which provide systems the ability to learn on their own. In fact, machine learning is more about the human intelligence and less machine automation. It is the humans who develop good and adaptive algorithms which can be updated according to the options provided in the algorithms to operate optimally. So the machines automatically learn and improve their outcomes from their experiences. Machine learning thus uses a large amount of data and statistics to handle the problems just as the smart humans.

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These days machine learning is developed using programming languages which incorporate different learning modules. Input is either past collected data from the past performances or directly collected from the newly initiated processes.

 

At P S Stats we develop machine learning based solutions in several domains. We use different data analysis methods to automate the analytical model building for the machine learning processes. Depending on the domain and the nature of the data, our data analysis methods are different.