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  • Chapter 9 Unsupervised learning techniques

    1. Ho would you defined clustering? Can you name a few clustering algori...

  • Chapter 8 Dimensionality Reduction

    1. What are the main motivations for reducing a dataset's dimensionality...

  • Chapter 7 Ensemble Learning

    1. If you have trained five different models on the exact same training ...

  • Chapter 6 Decision Trees

    1. What is the approximate depth of a decision tree trained (without res...

  • Chapter 5 Support Vercot Machines

    Whatis the fundamental idea behind Support Vector Machines ?The fundamen...

  • Capter 4 - Training Models Exercise

    1 .Which linear regression training algorithm can you use if you have a ...

  • 猴子都能懂的Transformers

    引入一些包,主要使用tensorflow '2.10.1' 加 transformers '4.25.1' 使用TFDS加載imdb_revie...

  • The Fundamentals of Machine Learning

    How would you define Machine Learning? Machine Learning is the science (...

  • NLP保存與加載模型

    加載組件 創(chuàng)建訓(xùn)練測試集 創(chuàng)建模型的函數(shù) 保存模型 (這里只保存模型的參數(shù)) 保存規(guī)則的其他設(shè)置這里可以在迭代中保存最優(yōu)的一組參數(shù),在超長時間的...

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