128: sampled softmax loss | TensorFlow | Tutorial

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  • @ZhalilKachkynov
    @ZhalilKachkynov 4 місяці тому +1

    Hello , Dear . I don’t know your name . About two weeks I learn basic Ai . Firstly I started to learn Python , numpy , pandas and data analysis , but I need teaching . If you have some free time two times a week , can you help me learning AI tools ? 😢

    • @learndataa
      @learndataa  3 місяці тому

      Sorry for the delayed reply.
      First welcome to the world of AI and Data Science. To answer your question in short, I think you are already on your way and on track. May be all that is needed now is practice, practice and some more practice. I see that you have already self taught Python. The same would work for AI tools as well.
      Below are few personal thoughts on getting up to AI tools. Again, the route to get there may vary based on background, experience, learning style and time available for practicing code. Chances are that you may already know steps below.
      (Analysis)
      Step-1: Learn Python basics
      Step-2: Learn Numpy, Pandas (in detail), and Matplotlib
      Step-3: Try analyzing open source datasets available online: UCI ML Repository etc.
      Step-4: Practice, practice and practice
      [Note: If learning without any prior coding background. May take 6 months. The Beginner series on this channel will cover all of the topics needed.]
      (Machine Learning)
      Below assumes prior basic background in Math, Algebra and Calculus
      Step-5: Learn the theory of ML (Andrew Ng's Course on Machine learning) Available for free on youtube.
      Step-6: Begin learning implementations in scikit-learn [Intermediate course on the channel]
      Step-7: Practice, practice and practice
      Step-8: Continue learning ML fundamentals
      [Note: May take about 6 to 8 months, without prior ML background.]
      (Deep Learning)
      Step-9: Learn the theory of DL (again Andrew Ng's course is good start; there are others as well)
      Step-10: Learn a framework of your choice. On this channel TensorFlow, Keras is covered so far.
      Step-11: Practice, practice and practice.
      [Note: May take one or two semesters; 6+ months]
      Overall, to answer your question, I think putting in more practice time may help. Trying to understand what each line of code does makes a huge difference.
      I believe learning to code and getting good at AI/ML is a marathon!!! Just keep going and do not give up!!! You will get there!!! If you have any questions or suggestions, please feel free to post them as comments on the videos, I'll try to reply as best as I can.
      Hope it helps.

  • @ZhalilKachkynov
    @ZhalilKachkynov 4 місяці тому +1

    If you agree , answer me please

    • @learndataa
      @learndataa  3 місяці тому

      I have posted a rely to the earlier comment. Thanks for watching!