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ashishpatel26/ML-Notes-in-Markdown: Machine learning notes that make your readin ...

原作者: [db:作者] 来自: 网络 收藏 邀请

开源软件名称(OpenSource Name):

ashishpatel26/ML-Notes-in-Markdown

开源软件地址(OpenSource Url):

https://github.com/ashishpatel26/ML-Notes-in-Markdown

开源编程语言(OpenSource Language):

Jupyter Notebook 100.0%

开源软件介绍(OpenSource Introduction):

Machine Learning

My online notebook for Machine Learning notes

This book contains short notes for the key machine learning algorithms and topics. In time, I will also update it to include references to other topics that I find interesting.

Prerequisites

  1. Regression
  2. Classification
  3. Clustering
  4. Association Rule Learning
  5. Reinforcement Learning
  6. Natural Language Processing
  7. Deep Learning
  8. Dimensionality Reduction
  9. Recommendation Engines
  10. Model Selection and Boosting
  11. Time Series
  12. Constraint Satisfaction Problems
  13. Appendix



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