Naive Bayes Theorem | Maximum A Posteriori Hypothesis | MAP Brute Force Algorithm by Mahesh Huddar

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  • Опубликовано: 26 окт 2024

Комментарии • 26

  • @snehagowda1082
    @snehagowda1082 3 года назад +112

    I will forward this video to our ML sir, so tht he may learn few ML concepts atleast

  • @codeindia4730
    @codeindia4730 2 года назад +6

    Thank You sir. Got Many ML Jargons Cleared Only Bcz of Your Videos.

  • @ARKPROCODER
    @ARKPROCODER 3 года назад +14

    I saw your whole playlists it was very helpful for my ML Exam all concepts covered with great explaination thank you

    • @ARKPROCODER
      @ARKPROCODER 3 года назад +1

      @@MaheshHuddar sure sir

  • @meshackamimo1945
    @meshackamimo1945 2 месяца назад

    Prof, kindly do a lecture in kalman filters as used in time series analysis

  • @meshackamimo1945
    @meshackamimo1945 2 месяца назад

    Or bayesian filters as may be used in time series analysis

  • @jevigudaganavar4258
    @jevigudaganavar4258 Год назад +1

    Naive Bayes classifier can be considered as a ranking classifier. What does this mean?

    • @devanshdalwadi6015
      @devanshdalwadi6015 Год назад

      ig it si calssifier to your distribution as a normal distribution

  • @CSEKailashPaswan
    @CSEKailashPaswan 11 месяцев назад

    sir ,
    notes