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Machine learning is the ability of machine to learn from data using statistical techniques, without being explicitly programmed by a human being. It comprises algorithms that use data to learn on their own and make predictions. Some of its application is search engine, photo tagging applications, spam detector etc.

Artificial Intelligence is the ‘ability of machine to take decisions of their own’. An intelligent machine is supposed to imitate some of the cognitive functions of humans like learning, decision-making and problem solving. Some of its applications are Siri, Google Now, Cortana, Alexa etc.

Big data is term that is used representing the collection of datasets of enormous volume and complexity. Such data cannot be processed and analyzed using traditional data processing tools as the data is not only voluminous, but also unstructured. Characteristics of Big data Volume- the most prominent characteristics of big data is its enormous size

Cloud Computing is defined as Computer-based services delivered over the Internet. It doesn’t store any data on your computer. The services comprise software, hardware, databases, storage etc.The reason behind the term ‘Cloud’ is the design of network at different location with different network devices similar to cloud.

The ‘Internet of things’ is a network of interrelated mechanical and digital devices, computing devices and other objects that have embedded hardware and software to communicate with others on the same network without the need of any human-to-computer or human-to-human interaction. Some potential applications of IoT are- Smart Home security system Smart Cities Smart Wearable

Based on the standard models of cloud-based services we are using are listed below-aaS (Infrastructure as a Service) – Amazon Web Services, Digital Ocean, MS Azure– PaaS (Platform as a Service) – Google App Engine, AWS Beanstalk– SaaS (Software as a Service) – Google Workspace, Dropbox

DROP TABLE – Deletes entire schema DROP DATABASE – Delete entire databse schema DROP clause of ALTER TABLE – Can delete specific column or constraint of existing table.

Fruitful Function: Function that returns a value def power(x,y):   for i in range(y):     r=r*x   print(r) a=intinput((“Enter Base”)) b=intinput((“Enter Exponent”)) power(a,b) Non-Fruitful Function: Function that does not return any value. def power(x,y=3):   for i in range(y):     r=r*x   return r a=intinput((“Enter Base”)) b=intinput((“Enter Exponent”)) total = power(a,b) print(total)

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