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Blog 1 Column

01
Jul

‘What’s ‘India’s plan for the development of Smart Cities?

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India’s plan for Smart Cities Mission includes components such as- City Improvement (Retrofitting), City Renewal (Redevelopment) and City Extensions (Greenfield Development) along with a pan-city initiative where the Smart Solutions are going to be applied for covering more extensive parts of the city. •Retrofitting will be introducing planning done in...
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01
Jul

Will Smart cities ensure a greener tomorrow?

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Yes, the smart cities can provide several ecological benefits, such as- i.Smart cities can reduce the C02 footprints, as it is the main driver behind the development of a smart city. Improved energy efficiency and storage, waste management, and traffic conditions are some of the critical advantages of a smart...
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01
Jul

What are the features of a Smart City?

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i.Planning for the unplanned areas which contain a range of compatible activities and use of land close to one another for making more use of land ii.Expanding housing opportunities for all iii.Reducing congestion, air pollution as well as resource depletion, boosting the local economy, promoting interactions and ensuring security iv.Making...
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01
Jul

What does a smart city consist of ?

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Smart Cities often integrate Information and Communication Technology and use different types of physical devices that are connected to an electronic IoT network for collecting data. The collected data is used to manage assets and resources efficiently. The data is obtained from citizens, devices and other physical assets. The collected...
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01
Jul

What is a Smart City plan?

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The Smart City Mission refers to urban renewal and retrofitting program undertaken by the Indian Government with a mission of developing 100 cities across the nation by making them citizen friendly and sustainable. The Smart City Mission visualizes the development of an area lying within 100 cities in the country...
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20
Jun

How is machine learning different from deep learning?

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In machine learning, if a machine learning algorithm comes up with an inaccurate prediction, then there is a need for the engineer to step in and make the adjustments.In the case of deep learning, the algorithms can self-determine whether the prediction done is accurate or not.  
20
Jun

What are the different types of machine learning?

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The machine learning algorithms are usually classified as either- supervised or unsupervised. Supervised Machine Learning Algorithms: These can be applied to the learning carried out in the past to new data by the use of labelled examples for predicting the events in the future. It starts from an analysis of...
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20
Jun

What is the objective of machine learning?

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The primary purpose of machine learning is to discover patterns in the user data and then make predictions based on these and intricate patterns for answering business questions and solving business problems. Machine learning helps in analysing the data as well as identifying trends.
20
Jun

Why is there a need for machine learning?

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Machine learning is needed for carrying out tasks that prove to be too complicated for humans to code directly. In such a case, a large amount of data is provided to the machine algorithm, and this algorithm works it out by exploring the data provided searching for a model that...
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