Organized by PG Department of Computer Science and Application
ISLAMIAH WOMEN’S ARTS AND SCIENCE COLLEGE, VANIYAMBADI
Tirupattur District,
Tamil Nadu - 635752
One Day
Faculty Development Programme
On
“BUILD YOUR FUTURE IN MACHINE LEARNING AND ARTIFICIAL INTELLIGENCE"
Date:23.06.2020
Time: 04.00 PM TO 05.00 PM(IST)
-->No Registration fees.
-->Feedback form will be shared at the END of the session
-->E-Certificate will be provided to all the participants.
Registration link
https://forms.gle/JmtLZYNTx9uYUokH7
With regards
Dr.M.RENU
PRINCIPAL
Ms.K. PRIYA
Head, Department of Computer Science and Application,
Islamiah Women's Arts and Science College
VANIYAMBADI.
1. Build your Future in
Artificial Intelligence
and Machine Learning
Mr. R. Rajkumar
Assistant Professor
Department of Computer Science and Engineering
SRM Institute of Science and Technology
ISLAMIAH WOMEN’S ARTS AND SCIENCE COLLEGE, VANIYAMBADI
Faculty Development Program on
Date: 23.06.2020
5. Artificial
Intelligence
India is among the top five countries globally when
it comes to the number of AI-driven startups
Many factors are likely to play a large role in
shaping the AI scene in 2025
Most products will be using AI by 2025 and many
AI-first companies will emerge across sectors
54. Product name: Cookies
Positive Review : Class 1
Negative Review: Class 2
Binary Classification
1. n Number of Reviews with Class Labels
2. +ve reviews with stars
3. -ve reviews with stars
4. Model has been trained
5. x>= 3 : +ve ; x<=2 : -ve;
55. Product name: Cookies
Positive Review : Class 1
Negative Review: Class 2
Binary Classification
1. n Number of Reviews with Class Labels
2. +ve reviews with stars
3. -ve reviews with stars
4. Model has been trained
5. x>= 3 : +ve ; x<=2 : -ve;
56. Product name: Cookies
Bitter taste (0) : Class 1
Sweet taste (1) : Class 2
Salty taste (2) : Class 3
No taste (3) : Class 4
Multi – Class Classification
1. n Number of Reviews with Class Labels
2. reviews with stars
3. Model has been trained
4. n+1 Classes [ (n+1)> 2 ]
57. Product name: Cookies
Bitter taste (0) : Class 1
Sweet taste (1) : Class 2
Salty taste (2) : Class 3
No taste (3) : Class 4
Multi – Class Classification
1. n Number of Reviews with Class Labels
2. reviews with stars
3. Model has been trained
4. n+1 Classes [ (n+1)> 2 ]
English :
Multi Means more than 1
Machine Learning:
Multi means more than 2