1.4 Notation (L01: What is Machine Learning)

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  • Опубліковано 15 лис 2024

КОМЕНТАРІ • 11

  • @ismailbaris7181
    @ismailbaris7181 2 роки тому +2

    Thank you very much for the very well pedagogically designed lecture.

  • @dxerosnic4672
    @dxerosnic4672 9 місяців тому

    sir could you please suggest me any book to keep my core concepts more clear?

  • @sinanstat
    @sinanstat 4 роки тому

    Is "Feature = independent variables" ? It is confusing to mean the same thing with different words. Thank you for explaining at the beginning of the class.

    • @SebastianRaschka
      @SebastianRaschka  4 роки тому +7

      yes, these are synonymous. In machine learning, the term "features" is more common, which is why I usually use that term.

  • @mustafa_kaloo
    @mustafa_kaloo 9 місяців тому

    great

  • @nehasehta7762
    @nehasehta7762 10 місяців тому

    Where could I find this material

  • @greatbahram
    @greatbahram 4 роки тому

    Thank you

  • @phanindrareddy4885
    @phanindrareddy4885 4 місяці тому

    done

  • @anishshankar816
    @anishshankar816 3 роки тому +1

    Sir, plz suggest me a book for this course

    • @SebastianRaschka
      @SebastianRaschka  3 роки тому

      Sorry, I wish I had a good book recommendation for you. For the PyTorch parts, I can at least recommend the Deep Learning with PyTorch book though: pytorch.org/assets/deep-learning/Deep-Learning-with-PyTorch.pdf. My book, Python Machine Learning, will also receive an update (we are almost done and plan for a release in Fall). The update will include PyTorch chapters (as opposed to TensorFlow in the current 3rd edition) and new content (e.g., a Transformer chapter)