Application of Machine Learning in Artificial Intelligence
First and foremost, we consider Artificial Intelligence; it is similar to human intelligence in machines made or developed to think like humans and imitate human actions. The term uses in devices for learning and problem-solving purposes. Machine Learning is an application and subset of Artificial Intelligence.
Machine Learning is a concept that gives the ability to the machines to automatically learn and adapt to the new data without the intervention of human intelligence. It focuses on making a prediction using a large amount of sample data and producing solutions for practical world problems. There are three main Machine Learning approaches as Supervised Learning, Unsupervised Learning, and Reinforcement Learning.
When we consider Machine Learning applications in Artificial Intelligence, many applications are using the concept and methods of Machine Learning. Netflix, Facebook, and Amazon's face recognition (Image Recognition) is the most popular Machine Learning application. For example, automatically tagging people on user-uploaded photos is an application of Machine Learning. In Facebook, optimize the large amount of data uploaded by users and train Machine Learning systems to recognize visuals. In Netflix, they give recommend videos to their users using Machine Learning algorithms. And that categorize most popular videos on their platform using Machine Learning algorithms. Amazon uses Machine Learning algorithms to find out their customer's expectations, customer's popular materials, and so on.
Email Spam filtering is one of an application of Machine Learning. In an email, the program analyses and categorizes email as 'spams' and 'non-spams'. If an email is junk mail, the program identifies the spam efficiently.
Video games development are another application of Machine Learning. “Super Mario World” is a famous game that using Machine Learning. In game development, there are some problems that Machine Learning can involve. They are Building the game dynamically for users and continuing the game against human players. Minecraft, car racing and StarCraft are other game examples of using Machine Learning.
Voice Recognition is one of an application of Machine Learning. In the voice recognition procedure, a voice converts to a text using Machine Learning algorithms. In Google, “Search By Voice” is a famous example of voice recognition. And also, “Siri”, “Google Assistant” are famous examples of using voice recognition technology under Machine Learning applications.
Self-driving cars are one of the most popular application of Machine Learning. The method uses driverless (Without a human operator) learning to aim the cars to identify people and objects while driving. Tesla , the car manufacturing company working on driverless (self-driving) cars.
Medical Diagnosis is another application of Machine Learning. In the medical science field, Machine Learning technology uses for identifying diseases. For example, they create 3D models and predict brain diseases. It is an important contribution of Machine Learning.
Traffic Prediction is another application of Machine Learning. If the user searches for a new place through the Google map, it shows the shortest, fastest route and predicts the traffic status. So, the whole process of predicting the traffic condition is using Machine Learning.
There are many important applications of Machine Learning in Artificial Intelligent. Those applications (Algorithms) can solve problems and make predictions. Machine Learning is fast growing in the Computer Science world. According to the applications of Machine Learning, we can think it is the best approach to problem-solving in the present and future too.
References
Anon., n.d. [Online]
Available at: https://www.investopedia.com/.../artificial-intelligence...
Anon., n.d. [Online]
Available at: https://www.spotlightmetal.com/machine-learning.../...
Anon., n.d. [Online]
Available at: https://www.javatpoint.com/applications-of-machine-learning
0 Comments