ML Study-Jams
Summary of events
Now, let's get to know an in-depth idea of all the events
we curated and hosted for our participants.
1. Info session and Explore ML #1 with Crowdsource
Summary of Event:
GDSC GES-COENGG is back with another campaign that is ML Study Jams started from 14th May 2022. The first event was an info session to explore ML and getting started with crowdsource. The introductory session focused on introduction to the ML study jams with basics of ML, AI, Deep Learning and contributing to crowdsource. The career opportunities in AI and ML were discussed as well. As a brainstorming part some interesting games were also played based on the domain along with tasks assigned for students using Smart Camera. Events timeline. Assessments, judging criteria, rewards and learning sources were also discussed.
Date and Time:May 14, 7:00 PM (IST)
Attendees:270+
Watch Now >>2. Explore ML #2 | ML Study Jams
Summary of Event:
The second session of ML study jams was focused on the introduction to neural networks and its basics like artificial neurons, its limits and hidden layers. Important mathematical concepts like Relu function and perception of artificial neurons were also discussed and cleared by the speakers. As a brainstorming part some interesting quizzes were also taken based on the concepts along with some hands-on sessions with TensorFlow Playground which made the whole event interactive.
Date and Time:May 16, 7:00 PM (IST)
Attendees:270+
Watch Now >>3. Kaggle Course
Kaggle #1
Summary of Event:Another session of ML study jams where the Kaggle platform was introduced to the students. Speakers explained some important concepts of “Introduction to ML” course. As a fun part some interesting quizzes were also taken based on the concepts. Speakers also taught some hands-on assignments from the same course which made the whole event interactive.
Date and Time: May 16, 7:00 PM (IST)Attendees: 270+
Kaggle #2 (Pandas)
Summary of Event:Speakers introduced the Pandas library (Python Data Analysis Library). Speakers further explained the scope of Pandas library in Data Science. Speakers also took some hands-on assignments from the Kaggle “Pandas” course which made the whole event very informative.The entire event was a great.
Date and Time: May 16, 7:00 PM (IST)Attendees: 270+
Benefits
Student's reviews about the event
Parnavi Takane
Computer science student"ML study Jams was Indeed a great Sessions!! Got to Explore ML right From the Scratch to Advance level with informative sessions like - Data Science, Neural Networks, Kaggle : Pandas. Overall Its Was Very Informative and Interesting study jams."
Tanvi Yeole
Computer science student"It was a great event event like here we learnt everything about machine learning which will upskill your knowledge and will put theory into practice through assignments"