Machine learning is a method of data analysis that automates analytical model building. It is a branch of artificial intelligence based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention. Artificial intelligence is a technology which enables a machine to simulate human behaviour. Machine learning is a subset of AI which allows a machine to automatically learn from past data without programming explicitly. The goal of AI is to make a smart system like humans to solve complex problems.
A smart city has various use cases for AI-driven and IoT-enabled technology, from maintaining a healthier environment to advancing public transport, safety & surveillance, parking, and lighting. By leveraging AI and machine learning algorithms, along with IoT, a city can plan for better smart traffic solutions, making sure that inhabitants get from one point to another as safely and efficiently as possible. Machine Learning collects data from numerous points and conveys it all to a central server for further implementation, and once data is collected, it can be utilized in making a city smarter.
How City Administration can Solve Urban Issues with AI & Machine Learning
This story is from the June 2020 edition of CIO Review.
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This story is from the June 2020 edition of CIO Review.
Start your 7-day Magzter GOLD free trial to access thousands of curated premium stories, and 9,000+ magazines and newspapers.
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