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The following questions are related to the application of Deep Learning in the field of Text Analysis:
1. Describe in detail the architecture and workings of the BERT model proposed by Devlin et al
2. The advantages and disadvantages of the BERT model.
3. Provide improvements to the BERT model to produce a better text classification model.
The information is highly sensitive. What do we need to do in order to physically secure this equipment and the information?
How the knowledge, skills, or theories of Cloud Computing course have been applied, or could be applied, in a practical manner to work environment.
What is your opinion of offshoring or moving jobs to international locations like China or India? Please explain.
All nodes store data and a parent pointer, and internal nodes store K child pointers. The data field requires eight bytes and each pointer requires four bytes.
List and briefly define at least three of the categories of passive and active security attacks.
What are some effective strategies for security awareness in an organization to ensure users are aware and held accountable for information security?
Consult the MIME RFC to find out how MIME deals with new or system-specific image and text formats.
Arizona State University-The data interacts with other personal tracking devices as well as web site. Do you own your data?
Review the company's infrastructure and identify of all types of vulnerabilities: environmental, physical, and human.
Describe a situation where you could use text analysis in a real life situation.
You may not have noticed that the title of the course is "Enterprise Architecture", while the title to the text book is "Enterprise Information Architecture"
You learned about safeguards against security threats. Do you use any of these in your personal life or at work?
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