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The document contains a table of contents listing headings and subheadings. It then discusses enrollment numbers for undergraduate and graduate students at three universities, showing the new students, graduating students, and change in enrollment between new and graduating students.

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0% found this document useful (0 votes)
26 views6 pages

My Evalution

The document contains a table of contents listing headings and subheadings. It then discusses enrollment numbers for undergraduate and graduate students at three universities, showing the new students, graduating students, and change in enrollment between new and graduating students.

Uploaded by

maryammunawar110
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as PDF, TXT or read online on Scribd
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Table of contents

Heading1…………………………………………………………………………………………………………….2
Heading 1…………………………………………………………………………………………………………….2
Heading 2…………………………………………………………………………………………………….2
Heading 2…………………………………………………………………………………………………………….3
Heading2……………………………………………………………………………………………………………..3
Heading 3………………………………………………………………………………………………….3
Heading 2…………………………………………………………………………………………………………….3

FATIMA RIAZ
22-NTU-CS-1342
1
2(−1)𝑛+1 (2𝑛) (2𝑛)
lim ( ) =𝜋,
𝑛→∞ 22𝑛 𝐵2𝑛
22-NTU-CS-1361

Title
Heading 1
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varis, id iaculis dui auctor. Duis pretium neque ligula, et pulvinar mi placerat et. Nulla nec nunc sit amet
nunc posuere vestibulum. Ut id neque eget tortor mattis tristique. Donec ante est, blandit sit amet
tristique vel, lacinia pulvinar arcu. Pellentesque scelerisque fermentum erat, id posuere justo pulvinar
ut. Cras id eros sed enim aliquam lobortis. Sed lobortis nis ut eros efficitur tincidunt. Cras justo mi,
porttitor quis mattis vel, ultrices ut purus
Inserting Table:
College New students Graduating students Change
Undergraduate
clear university 110 103 +7
Elm college 223 214 +9
•Text Mining
•Text Summarization
•Language Translation
NLP •Speech
•Text to speech
•Speech to Text

Expert
System

•Object Detection
vision •Image classification

Robotics

•Suppervised
Machine •Unsuppervised
Learning •Reinforcementer


Graduate
Cedar university 24 20 +4
Elm college 43 53 -10

Total 998 908 90

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