There's definitely something wrong with your for loop. Try this:
for x in range(n):
You might want to check if all your print statements are correct. You might be missing just a period and it will be counted wrong.
The correct answer is: <span>1/7 of a calendar year
</span>A Web year has been said to be the length of time it takes for Internet technology to evolve as much as technology in another environment might evolve in a calendar year. The term was coined at a time when the Internet and Web technology and culture were progressing at a phenomenal rate.
<span>The term is sometimes attributed to Lou Gerstner, then head of IBM. According to Larry Kunz, then the editor of IBM's Network Connection, the idea of a Web year was introduced by an unnamed female colleague in 1996. </span>
<span>In a 1996 interview in the WWW Journal, Tim Berners-Lee, chief inventor of the Web technologies, said: "What is a Web year now, about three months? And when people can browse around, discover new things, and download them fast, when we all have agents - then Web years could slip by before human beings can notice." When the interviewer suggested that such a pace would "take a physical toll" on people who work on the Web, Berners-Lee agreed that was true, but added that they would also "be able to live for three or four hundred Web years, which will be very exciting."</span>
An example of value which is created through the use of deep learning is: b. reducing multi-language communication friction in a company through automatic language translation.
<h3>What is machine learning?</h3>
Machine learning (ML) is also known as deep learning or artificial intelligence (AI) and it can be defined as a subfield in computer science which typically focuses on the use of computer algorithms, data-driven techniques (methods) and technologies to develop a smart computer-controlled robot that has the ability to automatically perform and manage tasks that are exclusively meant for humans or solved by using human intelligence.
In Machine learning (ML), data-driven techniques (methods) can be used to learn source ranges directly from observed multi-language communication.
In this context, we can infer and logically deduce that an example of value which is created through the use of deep learning is reducing multi-language communication friction that exist among employees working in a company through automatic language translation.
Read more on machine learning here: brainly.com/question/25523571
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Information will be easier to access, but that info has a slight chance of being downright wrong. Also, very technical info will be unavailable.
