Machine Learning in Daily Life: Image Recognition and Text Classification to Detect Objects and Analyze Text Sentiment
ISTTS again held KSP (Knowledge Sharing Program) onsite this season 14. Unlike previous events that always invited participants to attend KSP events at the ISTTS building, KSP with the theme KSP Goes to Schools decided to fill KSP events at various Surabaya high schools. KSP Episode 5 with the title “Machine Learning in Daily Life: Image Recognition and Text Classification to Detect Objects and Analyze Text Sentiment” was presented by one of the ISTTS students, Jestine Siewij. He is a graduate of the Bangkit 2022 program with a Machine Learning path. The event was held at Mawar Sharon High School Surabaya with a total of 80 students.
At the beginning of the event, Jestine explained some examples of Machine Learning in real life. One of them is people you may know on Instagram, advertisements on social media, chatbots, and also smart cars. Furthermore, there is an explanation of the differences between Artificial Intelligence, Machine Learning, and Deep Learning. First, Artificial Intelligence or AI is the concept of creating artificial intelligence that can imitate human behavior in several ways. A very popular example at that time was a chess competition that was won by a robot. Then, Machine Learning was created because it was felt that hard-coded algorithms were not suitable for recognizing images, sounds, and others. The concept of Machine Learning is to create computer algorithms that can help machines learn and develop through data analysis without explicit programming. Deep learning is a subset of machine learning that uses large amounts of data and neural network insights to train an ML model.
There are 3 core reasons why Machine Learning is worth learning. The high industry demand in the ML field is the main reason, which can be reported from the web https://eleks.com/blog/future-of-machine-learning/. Then, there are many careers that will take advantage of understanding Machine Learning which can be seen at https://onlinedegrees.sandiego.edu/machine-learning-engineer-career/. Furthermore, the last reason is that ML is easy to learn and access through various platforms on the Internet. Then, Ms. Jestine explained the basics of how Machine Learning works, namely:
- Dataset and Label
- Build the Model
- Train the Model
- Evaluate
At the end of the event, there was a demo session covering theory on image recognition and text classification. Both demos use services from Google which can be accessed via the following link.
Image recognition : https://bit.ly/KSP-ImageRecognition-2022
Speech classification : https://bit.ly/KSP-TextClassification-2022
The participants were very enthusiastic in trying the demo. This KSP event was also enlivened with prizes given to the three participants who actively participated in the demo and answered questions given by Kak Jestine. After the event was over, the participants and speakers took a group photo. Then the event continued with the ISTTS promotion conducted by the PMB (New Student Admission) team.
