Map > Further Readings
 

Further Readings

   

  1. A Short Essay on Data, Probability, Randomness and Uncertainty

  2. Bayesian Belief Network

  3. Combining Estimators to Improve Performance

  4. Convolutional Neural Networks

  5. Deep Learning 101

  6. Deep Learning ebook

  7. Five Levels of Intelligence

  8. Gradient Boosting Machine

  9. Maximum Likelihood Estimation 

  10. Mining Text and Web Data

  11. Multivariate Visualization

  12. Natural Language Processing in Python

  13. Optimality of Naive Bayes

  14. Principal Components Analysis

  15. Random Forest

  16. Receiver Operating Characteristics graphs (ROC101)

  17. Robust Regression

  18. Support Vector Machines

  19. Time Series and Forecasting

  20. Understanding the Bias-Variance Tradeoff 
 
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