scikit-learn vs Deep Learning

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  • Опубликовано: 11 сен 2024
  • In an age of Deep Learning, I think scikit-learn is still well worth mastering. In this lesson, you'll find out why!
    P.S. This is a lesson from my NEW course, "Master Machine Learning with scikit-learn." You can enroll here: courses.datasc...
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Комментарии • 9

  • @dataschool
    @dataschool  3 месяца назад

    This is a lesson from my NEW course, "Master Machine Learning with scikit-learn." You can enroll here: courses.dataschool.io/master-machine-learning-with-scikit-learn

  • @FernandoWartchow
    @FernandoWartchow 3 месяца назад +2

    Great explanation

  • @rishidixit7939
    @rishidixit7939 3 месяца назад +1

    As a beginner in ML are there jobs / internships available where they use only SkLearn or most jobs today use advanced Deep Learning Libraries like PyTorch or Tensorflow

    • @dataschool
      @dataschool  3 месяца назад +1

      Excellent question! Most Machine Learning problems don't actually require Deep Learning, and so yes, there are definitely jobs and internships that use only scikit-learn. Hope that helps!

    • @rishidixit7939
      @rishidixit7939 3 месяца назад

      @@dataschool Thanks for the reply. Actually recently saw some some AI doing Exploratory Data Analysis so I was worried that will jobs be lost before I even start 😅

    • @dataschool
      @dataschool  3 месяца назад

      It's an understandable concern! The field will continue to evolve as new tools become available, but it will be those people who have a deep understanding of what they are actually doing who will benefit the most, in my opinion!

  • @Tom_34321
    @Tom_34321 3 месяца назад +1

    Excellent 🇿🇦