Linear Algebra for Machine Learning:Circle(2d), Sphere(3d) and Hyper-sphere Lecture7

Поделиться
HTML-код
  • Опубликовано: 26 авг 2024
  • for more details please visit the following link
    www.appliedaic...
    #ArtificialIntelligence,#MachineLearning,#DeepLearning,#DataScience,#NLP,#AI,#ML

Комментарии • 6

  • @evadelmodasilvagomes4833
    @evadelmodasilvagomes4833 4 года назад +1

    thank you. I was trying to understand what was the association between classification algorithms and the dot product

    • @AppliedAICourse
      @AppliedAICourse  4 года назад +2

      Dot product helps you define planes which are used to separate points in many ML algorithms.

    • @friendzenterkolkata
      @friendzenterkolkata 4 года назад

      @@AppliedAICourse Yes, what you are explaining here is actually the basis of Discriminative Learning, like Linear SVM, Perceptron, Logistic Regression etc :)

    • @AppliedAICourse
      @AppliedAICourse  4 года назад +1

      Yes, that’s true.

  • @shalinianu4468
    @shalinianu4468 5 лет назад

    good explanation Sir

  • @chandrasagar1030
    @chandrasagar1030 6 лет назад +1

    will you please proide the notes for linear algebra in pdf format?