Machine Learning (機器學習)
Time: 上課時間:EE300098 [D] (四)567 I533
Class period: (四)(Thursday)567 I533
jdwang@asia.edu.tw
Score
(How to activate your AWS Academy Program?)
  • AWS Academy Learner Lab [111790]
  • 啟動 AWS Learner Lab 帳號 (How to activate your AWS Academy program:Learner Lab?))
  • HW(1%):啟動 AWS Learner Lab 帳號

  • AWS Academy Machine Learning Foundations [111786]
    • References
    (English Version)
    Python Machine Learning    , Sebastian Raschka, Vahid Mirjalili. Packt (3nd Edition), ISBN：9781789955750 )
    Code Example(183MB)

    Chapter 1: Giving Computers the Ability to Learn from Data
  • Chapter 2: Training Simple Machine Learning Algorithms for Classification
    • Naive Bayes Classifier (Probability model)
    Training : Find the conditional independent probablity of variable.
    Bayesian Decision Theory
    Naive Bayes Classifier (From Tom M. Mitchell)
    Naive_Bayes_training_example_Tennis.htm

    Linear Classifier (Vecor Space Model)
    Training : Find the hyperplanes that can separate the instances of one class from the other classes
    Rocchi Alogirhtm (Linear Classifier)LinearClassifier_jdwang.xls

  • Chapter 3: A Tour of Machine Learning Classifiers Using scikit-learn
  • Chapter 4: Building Good Training Datasets – Data Preprocessing
  • Chapter 5: Compressing Data via Dimensionality Reduction
  • Chapter 6: Learning Best Practices for Model Evaluation and Hyperparameter Tuning
    • Final Project (30%)

    Top 10 CancerTypes in PubMed

    PubMed_Cancer_jdwang2021_9_28.7z
    Topic : Text Classification of Cancers via Medical Articeles in PubMed Corpus
    The types of Cancer(Choose five types at least)
    Resource : PubMed
    (Download PedMed Articles via PubMed API
    (Download PedMed Articles via Download MEDLINE/PubMed Data
    Naive_Bayes_training_example_Tennis_ans.htm