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|a UAMI
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|a Brzustowicz, Michael R.,
|e author.
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| 245 |
1 |
0 |
|a Data science with Java :
|b practical methods for scientists and engineers /
|c Michael R. Brzustowicz.
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| 264 |
|
1 |
|a Boston, MA :
|b O'Reilly Media,
|c 2017.
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| 264 |
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4 |
|c ©2017
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| 300 |
|
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|a 1 online resource (233 pages) :
|b illustrations
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| 336 |
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|a text
|b txt
|2 rdacontent
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| 337 |
|
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|a computer
|b c
|2 rdamedia
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| 338 |
|
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|a online resource
|b cr
|2 rdacarrier
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| 500 |
|
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|a Includes index.
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| 588 |
0 |
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|a Online resource; title from PDF title page (EBSCO, viewed January 24, 2018).
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| 505 |
0 |
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|a Copyright; Table of Contents; Preface; Who Should Read This Book; Why I Wrote This Book; A Word on Data Science Today; Navigating This Book; Conventions Used in This Book; Using Code Examples; O'Reilly Safari; How to Contact Us; Acknowledgments; Chapter 1. Data I/O; What Is Data, Anyway?; Data Models; Univariate Arrays; Multivariate Arrays; Data Objects; Matrices and Vectors; JSON; Dealing with Real Data; Nulls; Blank Spaces; Parse Errors; Outliers; Managing Data Files; Understanding File Contents First; Reading from a Text File; Reading from a JSON File; Reading from an Image File
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| 505 |
8 |
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|a Writing to a Text FileMastering Database Operations; Command-Line Clients; Structured Query Language; Java Database Connectivity; Visualizing Data with Plots; Creating Simple Plots; Plotting Mixed Chart Types; Saving a Plot to a File; Chapter 2. Linear Algebra; Building Vectors and Matrices; Array Storage; Block Storage; Map Storage; Accessing Elements; Working with Submatrices; Randomization; Operating on Vectors and Matrices; Scaling; Transposing; Addition and Subtraction; Length; Distances; Multiplication; Inner Product; Outer Product; Entrywise Product; Compound Operations
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| 505 |
8 |
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|a Affine TransformationMapping a Function; Decomposing Matrices; Cholesky Decomposition; LU Decomposition; QR Decomposition; Singular Value Decomposition; Eigen Decomposition; Determinant; Inverse; Solving Linear Systems; Chapter 3. Statistics; The Probabilistic Origins of Data; Probability Density; Cumulative Probability; Statistical Moments; Entropy; Continuous Distributions; Discrete Distributions; Characterizing Datasets; Calculating Moments; Descriptive Statistics; Multivariate Statistics; Covariance and Correlation; Regression; Working with Large Datasets; Accumulating Statistics
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| 505 |
8 |
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|a Merging StatisticsRegression; Using Built-in Database Functions; Chapter 4. Data Operations; Transforming Text Data; Extracting Tokens from a Document; Utilizing Dictionaries; Vectorizing a Document; Scaling and Regularizing Numeric Data; Scaling Columns; Scaling Rows; Matrix Scaling Operator; Reducing Data to Principal Components; Covariance Method; SVD Method; Creating Training, Validation, and Test Sets; Index-Based Resampling; List-Based Resampling; Mini-Batches; Encoding Labels; A Generic Encoder; One-Hot Encoding; Chapter 5. Learning and Prediction; Learning Algorithms
|
| 505 |
8 |
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|a Iterative Learning ProcedureGradient Descent Optimizer; Evaluating Learning Processes; Minimizing a Loss Function; Minimizing the Sum of Variances; Silhouette Coefficient; Log-Likelihood; Classifier Accuracy; Unsupervised Learning; k-Means Clustering; DBSCAN; Gaussian Mixtures; Supervised Learning; Naive Bayes; Linear Models; Deep Networks; Chapter 6. Hadoop MapReduce; Hadoop Distributed File System; MapReduce Architecture; Writing MapReduce Applications; Anatomy of a MapReduce Job; Hadoop Data Types; Mappers; Reducers; The Simplicity of a JSON String as Text; Deployment Wizardry
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| 590 |
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|a O'Reilly
|b O'Reilly Online Learning: Academic/Public Library Edition
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| 650 |
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0 |
|a Java (Computer program language)
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| 650 |
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0 |
|a Data structures (Computer science)
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| 650 |
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6 |
|a Java (Langage de programmation)
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| 650 |
|
6 |
|a Structures de données (Informatique)
|
| 650 |
|
7 |
|a COMPUTERS
|x Programming Languages
|x JavaScript.
|2 bisacsh
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| 650 |
|
7 |
|a Data structures (Computer science)
|2 fast
|
| 650 |
|
7 |
|a Java (Computer program language)
|2 fast
|
| 776 |
0 |
8 |
|i Print version: Brzustowicz, Michael R.
|t Data science with Java.
|b First edition.
|d Sebastopol, CA : O'Reilly Media, 2017
|z 9781491934111
|w (DLC) 2017448763
|w (OCoLC)1019840271
|
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|u https://learning.oreilly.com/library/view/~/9781491934104/?ar
|z Texto completo (Requiere registro previo con correo institucional)
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