Table of Contents for
Pro Machine Learning Algorithms : A Hands-On Approach to Implementing Algorithms in Python and R

Version ebook / Retour

Cover image for bash Cookbook, 2nd Edition Pro Machine Learning Algorithms : A Hands-On Approach to Implementing Algorithms in Python and R by V Kishore Ayyadevara Published by Apress, 2018
  1. Navigation
  2. Cover
  3. Front Matter
  4. 1. Basics of Machine Learning
  5. 2. Linear Regression
  6. 3. Logistic Regression
  7. 4. Decision Tree
  8. 5. Random Forest
  9. 6. Gradient Boosting Machine
  10. 7. Artificial Neural Network
  11. 8. Word2vec
  12. 9. Convolutional Neural Network
  13. 10. Recurrent Neural Network
  14. 11. Clustering
  15. 12. Principal Component Analysis
  16. 13. Recommender Systems
  17. 14. Implementing Algorithms in the Cloud
  18. Back Matter