IEEE IAS DA-IICT Student Branch Chapter and IEEE Special Interest Group – Machine Intelligence(IEEE MI-SIG DAIICT) organized a series of regular sessions earlier this year on Machine Learning with an aim to build a community of Machine learning and AI enthusiasts who would engage in discussions and collaborative projects and at the same time, foster a healthy environment and support to beginners. Given the complexity and prerequisites of the subject, hands-on sessions are open to sophomore beginners only. Alongside, we also share all reading materials, video lectures and updates in the field to help the students learn progressively.
The first session was conducted on 22nd January 2018, Monday. The session witnessed a huge enthusiastic crowd of around 50 students. It was an introductory session on Machine Learning(ML) wherein, the students were given a bird’s eye view about ML, how it is related to Artificial Intelligence in general, the need of ML to solve real-world problems and how tech giants like Google, Amazon, Apple have employed ML in their products. The main aim was to foster an interest among the students for the subject matter and to let them know the potential of this domain to solve big problems.
The speakers also discussed future series of sessions and the topics to be covered during the course of the semester. Many web resources were also shared with the students to give them a head start in the field of machine learning. At the end of the session, we shared an invitation link to a google group for sharing resources, uploading periodic quizzes and announcements.
The second session was conducted on 14th February 2018, Wednesday. The students were asked to bring their laptops as it was a hands-on session. Nearly 45 students attended the session. They learned about the most basic machine learning algorithm: linear regression. Firstly, the theoretical aspects of the algorithm were taught followed by its implementation in python. The students were really focused and curiously kept asking doubts throughout the session. In the end, the speaker discussed the algorithm’s real-world application and shared resources to study the same.