) How is the machine learning technique helping Dr Mike to overcome his mental depression? b)based on the above scenario, can machine learning play any role in case of fraudulent detection? If yes then How? c) is there any automated system nowadays that can help Dr Mike for the investment decisions of his savings?
) How is the machine learning technique helping Dr Mike to overcome his mental depression? b)based on the above scenario, can machine learning play any role in case of fraudulent detection? If yes then How? c) is there any automated system nowadays that can help Dr Mike for the investment decisions of his savings?
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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a) How is the machine learning technique helping Dr Mike to overcome his mental depression?
b)based on the above scenario, can machine learning play any role in case of fraudulent detection? If yes then How?
c) is there any automated system nowadays that can help Dr Mike for the investment decisions of his savings?
d)can any technology help Dr Mike nowadays to do different household chores? What could be its future impact?
Transcribed Image Text:Dr. Mike is a specialist doctor. Recently he
retired from his position with dignity.
However, after retirement he is feeling a
bit depressed since most of the time he
has almost nothing to do. It is slowly
affecting his mental health. He is also
finding it hard to keep up with household
work. He suddenly found some mobile
applications which were like a lifesaver for
him. There were several therapeutic apps
available that ranged from chatbot to
music therapy. Alongside, he was worried
about his savings as well since many
monetary fraudulent cases are occurring
nowadays. Although he heard that
machine learning is helping a lot to avert
these fraudulent cases recently.
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