predictions of the growth of users of the Maps application in the next five years, of course
there will be major changes, including users will always increase and this maps
application will also emerge and become popular. where the maps application provides
maximum comfort to its users starting from updating application features, security and
services.
i think your explanation is very good. but, when i listen to your video, i can find
about the method that you used in prediction. can you tell me about the method
that you choose in your prediction? (i hope that you can give me example)
Replies:
The method used is Support Vector Machine (SVM). Some examples where the SVM
Method can be applied include:
1). Text classification: category assignment, spam detection and sentiment analysis.
2). Image recognition: SVM performs very well in image-based recognition and color-
based classification.
For example, in the orange vs apple classification task.
Most algorithms will calculate and discriminate based on ^very apples^ vs ^very oranges^
data points. Meanwhile, SVM will calculate and differentiate based on the data points
^apple that looks the most like an orange^ vs ^an orange that looks the most like an
apple^.
