BAYESIAN BRILLIANCE : NAVIGATING NAÏVE BAYES FOR BEGINNERS

#sairamitieeesb #ForBySeries #NAÏVEBAYES

The IEEE SB SSIT event “#31 BAYESIAN BRILLIANCE: NAVIGATING NAÏVE BAYES FOR BEGINNERS” held on January 5,2024 held by our passionate student Roshith P B of 3^rd AI-DS department was a grand success. Held on January 5,2024 from 7:30 PM to 8:30 PM, this online webinar provided an in-depth understanding of this probabilistic classification algorithm widely used in machine learning.

TIMINGS: 7:30 to 8:30 PM

The IEEE SB SSIT event “#31 BAYESIAN BRILLIANCE: NAVIGATING NAÏVE BAYES FOR BEGINNERS” conducted by our enthusiastic third year student P.B. Roshith of AI-DS Department on January 5,2024 was a resounding success. The session began with an introduction to the basic principles of Bayes' Theorem, which forms the foundation for Naive Bayes. The speaker covered the use of Naive Bayes in classification tasks, emphasizing its applicability in sentiment analysis, spam filtering, and natural language processing (NLP). The speaker also discussed how the algorithm's efficiency and simplicity allow it to handle big datasets with many dimensions. The webinar also covered Naive Bayes' advantages and disadvantages. It was recognized for its rapid training times and strong performance even with little data. For their future reference, the students were also given access to Github repositories. All of the participants received certificates of gratitude acknowledging their enthusiasm for discovering new fields. Through a successful demystification of the algorithm, the webinar made Naive Bayes understandable to both novices and those looking to deepen their understanding of the algorithm.