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AI is needed to drive progress, improve efficiency, foster innovation, and address complex challenges across various domains, ultimately contributing to economic growth and societal well-being and can perform tasks with a high level of accuracy.
Machine Learning powers recommendation engines that suggest products, services, or content to users based on their preferences and behavior. ML algorithms can optimize processes and analyzing data and identifying patterns.
Data Science is used across different industries to solve complex problems, optimize processes, and drive innovation. As the volume and variety of data continue to grow, the demand for data scientists and their expertise will increase.
It provides an interface for users to interact and allowing users to store, retrieve, update, and manage data efficiently. It also ensures data integrity, security, and concurrency control. Popular DBMS include MySQL, Oracle, PostgreSQL, MongoDB etc.,
Data warehouse serves as a strategic asset for organizations, enabling them to harness the power of their data for informed decision-making, competitive advantage, and business growth. It provides a unified view to derive better business outcomes
A structures are generally based on the ability of a computer to fetch and store data at any place in its memory
The database management system (DBMS) is the software that interacts with end users, applications, and the database itself apture and analyze the data
Python is a high level, interpreted language which has easy syntax and dynamic semantics. Python is much easier than other programming languages and helps you create beautiful applications with less effort and much more ease.
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