Application of machine learning in Artificial Intelligence
I will address the following Machine Learning applications one by one:
Alerts on Traffic
The Social Media
Commuting and Transportation
Recommendations for Goods
Personal Virtual Assistants
Cars Self Powered
Dynamic Pricing, Dynamic
Translate Google
Streaming Content Online
Detecting Fraud
Alerts on Traffic (Maps)
Today, Google Maps is probably the software that we use if we go out and need directions and traffic assistance. "I traveled to another city the other day and took the expressway and suggested maps: "You are on the quickest road, despite the heavy traffic. But, how is that known? Well, it's a mix of people actually using the service, the route's historical data accumulated over time and few tricks learned from other businesses. Everyone using maps provides their location, average speed, the route they are going, which in turn lets Google collect huge traffic data, helping them predict and change the route according to the upcoming traffic.
The Social Media (Facebook)
Automatic Friend Tagging Recommendations on Facebook or any other social networking site is one of Machine Learning's most common applications. To automatically find the face of the individual that matches its database, Facebook uses face detection and image recognition and thus suggests us to tag the individual based on Deep Face. Deep Face, Facebook's Deep Learning project, is responsible for recognizing faces and identifying which individual is in the picture. Alternative Tags (Alt Tags) are also provided for photos already posted to Facebook. If we search the following picture on Facebook, for example, the alt-tag has a definition.
Commuting and Transportation (Uber)
You are already using Machine Learning to a degree, if you have used an app to book a taxi. It offers a tailored application that is special to you. It senses your location automatically and offers options based on your background and habits to either go home or office or some other frequent spot. To make a more precise ETA prediction, it uses a machine learning algorithm layered on top of historic trip data. They saw a 26% precision in Distribution and Pickup with the application of Machine Learning.
Recommendations for Goods
Suppose you search an item on Amazon, but here and there, you don't buy it. But you're watching YouTube videos the next day and suddenly you see an ad for the same thing. You turn to Facebook and you see the same ad there, too. And how is this happening? Well, this happens because your search history is monitored by Google, and advertisements based on your search history are recommended. This is one of Machine Learning 's coolest applications. In reality, Product Recommendations produce 35 percent of Amazon's revenue.
Personal Virtual Assistants
Digital Personal Assistants help to find useful information when asked through text or speech, as the name implies. A few of the key Machine Learning applications here are:
1.Expression acknowledgement
2.Speech to Conversion Text
3.Processing natural Language
4.Text Translation to Voice
"All you need to do is ask a simple question like "What's my tomorrow schedule? "or "Show my flights to come." Your personal assistant scans for information to address, or remembers your relevant questions to gather information. In Chatbots, which are implemented in different food ordering applications, online training websites and even in commuting apps, personal assistants have recently been used.
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