The event, "Introduction to Machine Learning)," provided an insightful overview of what machine learning is, and how it can be implemented, and introduced the prerequisites and the trends. The event aimed to inspire and educate students about the opportunities and resources the world of machine learning offers to aspiring developers.

Topics Covered:

• What is Machine Learning?

• Mathematics and ML

• Types of ML

• Supervised, Unsupervised and Reinforcement ML

• Regression and Classification Problems

• Implementation of ML and Required Skills

• Trends in ML (current and future)

• QNA

Speaker:

Mr. Anurag Mukati, the speaker of the event, shared valuable insights into the world of ML, the importance of this new technology and student communities like GDSC, and the opportunities they offer for personal and professional growth.

Conclusion:

In conclusion, the "Intro to ML" event served as a valuable starting point for students interested in the technology and its development. It highlighted the structure and functions of ML, introduced the various types and skills involved, and provided valuable insights from the speaker. This event undoubtedly motivated students to start working on Machine Learning and take advantage of the opportunities it offers.