HandWiki:Analysis

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Data science is a multi-disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data. It covers data analysis, data mining and visualization.


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Find here a list of categories organized by topics and a list of new articles submitted to this portal.

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List of categories

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Main topics

  1. Academic disciplines
  2. Academic publishing
  3. Accreditation
  4. Accuracy and precision
  5. Actuarial science
  6. Application-specific graphs
  7. Applications of Bayesian inference
  8. Applied sciences
  9. Artificial immune systems
  10. Artificial intelligence
  11. Autocorrelation
  12. Bayesian estimation
  13. Bayesian inference
  14. Bibliometrics
  15. Binary trees
  16. Biorthogonal wavelets
  17. Branches of science
  18. Calculus of variations
  19. Causal inference
  20. Change detection
  21. Chart overlays
  22. Choice modelling
  23. Circuit complexity
  24. Citation metrics
  25. Classical control theory
  26. Classification systems
  27. Cognitive science
  28. Cohort studies
  29. Cohort study methods
  30. Color names
  31. Computational complexity theory
  32. Computational fields of study
  33. Computational resources
  34. Conjugate prior distributions
  35. Continuous wavelets
  36. Cooperative games
  37. Covariance and correlation
  38. Cybernetics
  39. Decimal time
  40. Decimalisation
  41. Decision trees
  42. Decision-making
  43. Decision-making paradoxes
  44. Design of experiments
  45. Detection theory
  46. Dewey Decimal Classification
  47. Dimension reduction
  48. Econometrics
  49. Encyclopedias of science
  50. Entropy and information
  51. Eprint archives
  52. Error detection and correction
  53. Errors and residuals
  54. Estimation methods
  55. Estimation of densities
  56. Estimation theory
  57. Evaluation methods
  58. Evidence-based practices
  59. Exploration
  60. Field research
  61. Financial charts
  62. Flow visualization
  63. Forensic disciplines
  64. Formal sciences
  65. Free online encyclopedias
  66. Gambling terminology
  67. Generalizations
  68. Generalized linear models
  69. Globally Harmonized System
  70. Graph drawing
  71. Graph rewriting
  72. Graphical models
  73. Gregorian calendar
  74. ISO 9660 extensions
  75. ISO standards
  76. Identity paradoxes
  77. Image noise reduction techniques
  78. Image processing
  79. Imagination
  80. Index numbers
  81. Inductive fallacies
  82. Inductive reasoning
  83. Infographics
  84. Informal estimation
  85. Information
  86. Information retrieval techniques
  87. Information science
  88. Inter-rater reliability
  89. International standards
  90. Interpolation
  91. Inverse problems
  92. Julian calendar
  93. Knowledge bases
  94. Knowledge graphs
  95. Laboratory techniques
  96. Least squares
  97. Library cataloging and classification
  98. Library of Congress Classification
  99. Likelihood
  100. Lists of colors
  101. Log-linear models
  102. Logarithmic scales of measurement
  103. Logical paradoxes
  104. Loss functions
  105. M-estimators
  106. Markov chain Monte Carlo
  107. Markov models
  108. Martingale theory
  109. Mathematical and quantitative methods (economics)
  110. Mathematical modeling
  111. Mathematics of computing
  112. Matrix decompositions
  113. Maximum likelihood estimation
  114. Measure theory
  115. Measurement
  116. Measures (measure theory)
  117. Metaheuristics
  118. Metatheorems
  119. Method engineering
  120. Metric geometry
  121. Metric system
  122. Model selection
  123. Modeling and simulation
  124. Monte Carlo methods
  125. Monte Carlo methods in finance
  126. Multidimensional signal processing
  127. Multiple comparisons
  128. Multivariate time series
  129. Natural sciences
  130. Nature-inspired metaheuristics
  131. Nautical charts
  132. Normal distribution
  133. Numeral systems
  134. Open science
  135. Open-source artificial intelligence
  136. Optimal decisions
  137. Orders of magnitude
  138. Orders of magnitude (length)
  139. Orders of magnitude (time)
  140. Orders of magnitude (volume)
  141. Orthogonal wavelets
  142. Outlines of sciences
  143. Pattern formation
  144. Pattern matching
  145. Pattern recognition
  146. Percolation theory
  147. Photographic techniques
  148. Pictograms
  149. Plots (graphics)
  150. Point estimation performance
  151. Prediction
  152. Primary colors
  153. Problem solving
  154. Problem solving methods
  155. Problem solving skills
  156. Problem structuring methods
  157. Pseudorandom number generators
  158. Qualitative research
  159. Quality assurance
  160. Quality control
  161. Quality control tools
  162. Quality management
  163. Rainbow colors
  164. Reporting guidelines
  165. Research methods
  166. Research methods journals
  167. Risk management
  168. Rules of thumb
  169. SI base quantities
  170. SI prefixes
  171. Sampling techniques
  172. Scale modeling
  173. Scholarly communication
  174. Scholarly search services
  175. Science occupations
  176. Scientific classification
  177. Scientific disciplines
  178. Scientific documents
  179. Scientific method
  180. Scientific modeling
  181. Scientific techniques
  182. Scientific visualization
  183. Search trees
  184. Secondary colors
  185. Semi-parametric models
  186. Shades of blue
  187. Shades of brown
  188. Shades of color
  189. Shades of cyan
  190. Shades of gray
  191. Shades of green
  192. Shades of magenta
  193. Shades of orange
  194. Shades of pink
  195. Shades of red
  196. Shades of violet
  197. Shades of white
  198. Shades of yellow
  199. Signal estimation
  200. Signal processing
  201. Similarity and distance measures
  202. Simultaneous equation methods (econometrics)
  203. Single-equation methods (econometrics)
  204. Specialized encyclopedias
  205. Stable sorts
  206. Stochastic models
  207. Stochastic processes
  208. Structural functionalism
  209. Structured prediction
  210. Systematic review
  211. Systems thinking
  212. Technology forecasting
  213. Temporal rates
  214. Theorems in measure theory
  215. Theory of constraints
  216. Thought experiments
  217. Tide tables
  218. Time series
  219. Time series models
  220. Types of analytics
  221. Variance reduction
  222. Vertical datums
  223. Visualization (graphic)
  224. W.Krisher and R.Bock
  225. Web analytics
  226. Zero-level elevation points

Algorithms

  1. Algorithmic inference
  2. Algorithms
  3. Algorithms and data structures
  4. Analysis of algorithms
  5. Behavior selection algorithms
  6. Cluster analysis algorithms
  7. FFT algorithms
  8. Filter theory
  9. Linear filters
  10. Mathematical optimization
  11. Nonlinear filters
  12. Number theoretic algorithms
  13. Randomized algorithms

Data handling

  1. Algorithms and data structures
  2. Applied data mining
  3. Biometric databases
  4. Categorical data
  5. Computer data
  6. Data analysis
  7. Data collection
  8. Data mining
  9. Data modeling
  10. Data modeling diagrams
  11. Data modeling languages
  12. Data processing
  13. Data publishing
  14. Data types
  15. Data visualization
  16. Data-flow analysis
  17. Datasets in machine learning
  18. Exploratory data analysis
  19. Extreme value data
  20. Geometric data structures
  21. Missing data
  22. Panel data
  23. Probabilistic data structures
  24. Public domain databases
  25. Scientific databases
  26. Statistical data sets
  27. Statistical data transformation
  28. Statistical data types
  29. Summary statistics for categorical data
  30. Trees (data structures)

Analysis

  1. Analysis of algorithms
  2. Analysis of variance
  3. Asymptotic analysis
  4. Cluster analysis
  5. Cluster analysis algorithms
  6. Computable analysis
  7. Control-flow analysis
  8. Cross-sectional analysis
  9. Data analysis
  10. Data-flow analysis
  11. Decision analysis
  12. Dimensional analysis
  13. Exploratory data analysis
  14. Frequency-domain analysis
  15. Hazard analysis
  16. Instrumental analysis
  17. Meta-analysis
  18. Multiple-criteria decision analysis
  19. Nonlinear time series analysis
  20. Numerical analysis
  21. Regression analysis
  22. Reliability analysis
  23. Risk analysis
  24. Sensitivity analysis
  25. Spatial analysis
  26. Statistical analysis
  27. Survival analysis
  28. Systems analysis
  29. Time domain analysis
  30. Time–frequency analysis

Statistics

  1. Applied statistics
  2. Asymptotic theory (statistics)
  3. Bayesian statistics
  4. Categorical regression models
  5. Characterization of probability distributions
  6. Computational statistics
  7. Conditional probability
  8. Descriptive statistics
  9. Engineering statistics
  10. Exotic probabilities
  11. Experiment (probability theory)
  12. Logistic regression
  13. Nonparametric Bayesian statistics
  14. Nonparametric regression
  15. Nonparametric statistics
  16. Normality tests
  17. Parametric statistics
  18. Probabilistic data structures
  19. Probabilistic inequalities
  20. Probability
  21. Probability distribution fitting
  22. Probability distributions
  23. Probability distributions with non-finite variance
  24. Probability theorems
  25. Regression analysis
  26. Regression diagnostics
  27. Regression models
  28. Regression variable selection
  29. Regression with time series structure
  30. Resampling (statistics)
  31. Robust regression
  32. Robust statistics
  33. Sample statistics
  34. Sampling (statistics)
  35. Scale statistics
  36. Stability (probability)
  37. Statistical analysis
  38. Statistical approximations
  39. Statistical charts and diagrams
  40. Statistical classification
  41. Statistical data sets
  42. Statistical data transformation
  43. Statistical data types
  44. Statistical deviation and dispersion
  45. Statistical distance
  46. Statistical forecasting
  47. Statistical hypothesis testing
  48. Statistical inequalities
  49. Statistical inference
  50. Statistical intervals
  51. Statistical laws
  52. Statistical models
  53. Statistical outliers
  54. Statistical principles
  55. Statistical process control
  56. Statistical randomness
  57. Statistical ratios
  58. Statistical reliability
  59. Statistical signal processing
  60. Statistical tests
  61. Statistical tests for contingency tables
  62. Statistical theory
  63. Statistics
  64. Statistics books
  65. Summary statistics
  66. Summary statistics for categorical data
  67. Theory of probability distributions
  68. Time series statistical tests
  69. U-statistics
  70. Validity (statistics)

Machine learning

  1. Artificial neural networks
  2. Bayesian networks
  3. Datasets in machine learning
  4. Deep learning
  5. Learning management systems
  6. Machine learning
  7. Neural networks
  8. Reinforcement learning
  9. Unsupervised learning

Units

  1. Conversion of units of measurement
  2. Customary units of measurement in the United States
  3. Human-based units of measurement
  4. Imperial units
  5. International System of Units
  6. Metricated units
  7. Natural units
  8. Non-SI metric units
  9. Obsolete units of measurement
  10. SI base units
  11. SI derived units
  12. UCUM base units
  13. Units of amount
  14. Units of angle
  15. Units of area
  16. Units of information
  17. Units of length
  18. Units of measurement
  19. Units of measurement in astronomy
  20. Units of measurement in navigation
  21. Units of measurement in surveying
  22. Units of purity
  23. Units of quality
  24. Units of rate
  25. Units of sound