Alternative preprocessing techniques
by Patrick R. Nicolas
Scala for Machine Learning - Second Edition
- Scala for Machine Learning Second Edition
- Table of Contents
- Scala for Machine Learning Second Edition
- Credits
- About the Author
- About the Reviewers
- www.PacktPub.com
- Customer Feedback
- Preface
- 1. Getting Started
- Mathematical notations for the curious
- Why machine learning?
- Why Scala?
- Model categorization
- Taxonomy of machine learning algorithms
- Leveraging Java libraries
- Tools and frameworks
- Source code
- Let's kick the tires
- Summary
- 2. Data Pipelines
- 3. Data Preprocessing
- 4. Unsupervised Learning
- K-mean clustering
- Expectation-Maximization (EM)
- Summary
- 5. Dimension Reduction
- 6. Naïve Bayes Classifiers
- 7. Sequential Data Models
- 8. Monte Carlo Inference
- 9. Regression and Regularization
- 10. Multilayer Perceptron
- 11. Deep Learning
- 12. Kernel Models and SVM
- 13. Evolutionary Computing
- 14. Multiarmed Bandits
- 15. Reinforcement Learning
- 16. Parallelism in Scala and Akka
- 17. Apache Spark MLlib
- A. Basic Concepts
- B. References
- Index
For the sake of space and your time, this chapter introduced and applied three filtering and smoothing classes of algorithms. Moving averages, Fourier series, and Kalman filter are far from being the only techniques used in cleaning raw data. The alternative techniques can be classified into the following categories:
- Autoregressive models that encompass Auto-Regressive Moving Average (ARMA), Auto-Regressive Integrated Moving Average (ARIMA), generalized autoregressive conditional heteroscedasticity (GARCH), and Box-Jenkins rely on some form of autocorrelation function
- Curve-fitting algorithms that include the polynomial and geometric fit with ordinary least squares method, non-linear least squares using the Levenberg-Marquardt optimizer and probability distribution fitting
- Non-linear dynamic systems with Gaussian noise such as particle filter
- Hidden Markov models as described in Hidden Markov models section of Chapter 7, Sequential data models
-
No Comment
..................Content has been hidden....................
You can't read the all page of ebook, please click here login for view all page.