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AISimplified - Chapter 02 : Probability and Naive Bayes

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AISimplified - Chapter 02 : Probability and Naive Bayes

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Title:
Explore the World of AI: Probability, Naive Bayes, and Python Modeling

**Meeting Date and Time:** 11-Jan-2024 06:00 PM SST
** Mode: Online: Link will be shared later

**Agenda:**

  1. Probability Puzzles: Let's find the answer :
  • Toss a coin 100 times and ponder over the probabilities of getting Heads. What happens when you toss 2 coins simultaneously?
  • Select a card from a deck and calculate the likelihood of drawing any King.
  • Explore the realm of dice as we question whether rolling 4 dice increases the chances of getting all 6 compared to rolling just one.
  • In a class of 30 children, where 15 like history and 21 like math, unravel the probability that a randomly chosen child prefers math but not history.
  1. Understanding Naive Bayes Algorithm
  • Demystify the Naive Bayes Algorithm: grasp its core concepts and workings.
  • Dive into practical applications, exploring use cases such as email spam filtering, sentiment analysis, and recommendation systems.
  1. Hands-On Session: Building a Naive Bayes Model with Python
  • Walkthrough the process of building a Naive Bayes model using Python.
  1. Q&A and Discussion
  • Open floor for questions and discussion.

- Key takeaways from the meeting.

Speaker: Preet Sharma

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