[amp_mcq option1=”Machine learning focuses on prediction, based on known properties learned from the training data” option2=”Data Cleaning focuses on prediction, based on known properties learned from the training data” option3=”Representing data in a form which both mere mortals can understand and get valuable insights is as much a science as much as it is art” option4=”None of the mentioned” correct=”option3″]<\/p>\n
The correct answer is: C. Representing data in a form which both mere mortals can understand and get valuable insights is as much a science as much as it is art<\/strong><\/p>\n Machine learning is a field of computer science that gives computers the ability to learn without being explicitly programmed. In other words, machine learning algorithms can learn from data and improve their performance over time without being explicitly told how to do so.<\/p>\n Data cleaning is the process of identifying and correcting errors in data. This can be a time-consuming and tedious process, but it is essential for ensuring the accuracy and reliability of data.<\/p>\n Data visualization is the process of representing data in a graphical or pictorial format. This can be done through a variety of means, such as charts, graphs, and maps. Data visualization can be used to communicate complex information in a clear and concise way.<\/p>\n The statement “Representing data in a form which both mere mortals can understand and get valuable insights is as much a science as much as it is art” is correct because it captures the essence of both data science and data visualization. Data science is a science because it involves the use of scientific methods to extract knowledge from data. Data visualization is an art because it involves the use of creative techniques to communicate data in a visually appealing way.<\/p>\n A. Machine learning focuses on prediction, based on known properties learned from the training data. This is true, but it does not capture the full scope of data science. Data science also involves the tasks of data cleaning and data visualization.<\/p>\n B. Data Cleaning focuses on prediction, based on known properties learned from the training data. This is not true. Data cleaning is the process of identifying and correcting errors in data. It does not involve prediction.<\/p>\n D. None of the mentioned. This is not true. The statement “Representing data in a form which both mere mortals can understand and get valuable insights is as much a science as much as it is art” is correct.<\/p>\n","protected":false},"excerpt":{"rendered":" [amp_mcq option1=”Machine learning focuses on prediction, based on known properties learned from the training data” option2=”Data Cleaning focuses on prediction, based on known properties learned from the training data” option3=”Representing data in a form which both mere mortals can understand and get valuable insights is as much a science as much as it is art” … <\/p>\n