1、培訓過程中，如有部分內容理解不透或消化不好，可免費在以后培訓班中重聽；
        2、培訓結束后,授課老師留給學員聯系方式,保障培訓效果,免費提供課后技術支持。
        3、培訓合格學員可享受免費推薦就業機會。

• Introduction to Applied Machine Learning
  Statistical learning vs. Machine learning
  Iteration and evaluation
  Bias-Variance trade-off
  Machine Learning with Scala
  Choice of libraries
  Add-on tools
  Regression
  Linear regression
  Generalizations and Nonlinearity
  Exercises
  Classification
  Bayesian refresher
  Naive Bayes
  Logistic regression
  K-Nearest neighbors
  Exercises
  Cross-validation and Resampling
  Cross-validation approaches
  Bootstrap
  Exercises
  Unsupervised Learning
  K-means clustering
  Examples
  Challenges of unsupervised learning and beyond K-means