Application of machine Learning in Artificial Intelligence
What is machine learning and artificial intelligence? Machine learning is a concept where it primarily center on the enhancement of computer programs where it let the computers to learn by itself through accessing data and without any human intervention with the assistance of observations, experiences, guidelines, examples to make better choices and decisions in the future. And it opens up opportunities for different entities by enabling innovation. So here artificial knowledge is generated through the pattern of experiences.
Artificial intelligence is a concept where recreation of human insights in machines that are modified to think and imitate like humans. So, Machine learning itself is an application of artificial intelligence. Before the computers or the software independently take its own decisions, human should feed the relevant and adequate data and algorithms into the system and let the computer to analyze, interpret, respond and learn from the available sources. Once the efficient data has been inserted to the system, the software will bear the burden to analyze, summarize, predict, and to make decisions.
The applications of machine learning have been widely spread around the globe, it mainly includes the social medias that we use in our day-to-day life, where the data’s fed by the users to the social network are mostly used to find the image recognition of different people with varied nationality, mainly on Facebook where we get a tagging option with the assistance of face detection technology of machine learning.
One of the inspiring applications that really exciting to mention would be a self-driving car, where the car itself is able to drive by adhering to the traffic signals and be able to detect the vehicles’ signals, headlights etc., where some of the companies are working on the progress of manufacturing self-driving cars, i.e., Waymo, Voyage.
Stock market is another application where it predicts the future prices of shares, which is really helpful for the shareholders to make decisions based on the predictions, the technology behind this prediction is machine learning.
The safe financial transactions can be made in online fraud transaction detection with the use of machine learning. The artificial neural network of “feed Forward Neural network” makes a difference between a valid and fraudulent transactions.
Speech recognition is a software which translate the spoken words into texts, it connected with the fields of linguistics and computing technologies in addition to convert the spoken words into texts.
Machine learning is useful in the field of Medicine too in order to diagnose disease easily
Spam filters used in Gmail also uses the technology of machine learning, where it filters the important emails and the spam separately.
Machine learning is mostly used in the field of E-commerce and E-business as well. We would experience of getting repeated advertisements for a particular products, series or games in our day-to-day life, especially if we search for Amazon, Netflix etc.…, because the google record and understand the passion and interest of different users and provide recommendation using the different algorithms and patterns of search used by the machine learning.
“Siri”, “Alexa” and google assistants are some of the online personal assistants that are broadly utilized and provide the service to the users and respond them according to their instruction using machine learning algorithms with the help of getting data cloud server.
Where artificial intelligence is a broad area of science which covers of imitating human capabilities, Machine learning is a sub part of Artificial intelligence where it trains the machine to learn by itself. Machine learning include deep learning and enable the user to feed computer algorithms and utilize the data and provide many applications as mentioned above.
There may be lot more applications of machine learning that exists in different fields, where some of the core and main applications are mentioned here. Today machines can be trained well to behave and mimic like humans to perform different activities with high accuracy and with higher level of efficiency by minimizing errors.
The day-to-day activities of individuals can be enhanced through the development of applications of machine learning in artificial intelligence, by providing various opportunities and different platform of services. We can expect many more inspiring applications of machine learning in different fields in future, since the process of deep learning and machine learning concepts are under progress in many companies around the world to make the world a better place with more comfort and satisfy the needs efficiently.
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