Data Science with Java

Index

A

• absolute loss, Linear loss-Quadratic loss
• AbstractRealDistribution class, Randomization
• addition on vectors and matrices, Addition and Subtraction
• affine transformation, Affine Transformation
• AggregateSummaryStatistics class, Working with Large Datasets, Merging Statistics
• Anscombe’s quartet, Statistics, Descriptive Statistics, Multivariate Statistics, Anscombe’s Quartet
• Apache Commons project
  • CSV library, Parsing delimited strings
  • Lang package, Writing to a Text File
  • Math library, Array Storage, Scaling, Entrywise Product, Mapping a Function, Working with Large Datasets, k-Means Clustering
• Apache Hadoop (see Hadoop MapReduce framework)
• Application class (JavaFX)
  • launch() method, Creating Simple Plots
  • start() method, Creating Simple Plots
• AreaChart class (JavaFX), Scatter plots, Plotting multiple series
• array storage, Array Storage
• Array2DRowRealMatrix class, Transposing, Solving Linear Systems
• ArrayList class, JSON
• ArrayRealVector class, Array Storage
• arrays
  • multivariate, Multivariate Arrays
  • univariate, Univariate Arrays
• ASCII files, Understanding File Contents First

B

• back propagation (deep networks), Back propagation
• bag of words, Vectorizing a Document
• bar charts, Bar charts, Plotting multiple series
• BarChart class (JavaFX), Bar charts, Plotting multiple series
• BASH scripts, Simplifying with a BASH script
• bell curve, Statistical Moments, Normal-Normal
• Bernoulli cross-entropy, Bernoulli-Bernoulli
• Bernoulli distribution, Bernoulli
• Bernoulli naive Bayes classifier, Bernoulli
• big strings, parsing, Parsing ...