The Pleasure of Finding Things Out
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Linux
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Machine learning
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Python
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Quick tips
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R
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Statistical modeling
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Determining Histogram Bin Width using the Freedman-Diaconis Rule
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Modifying Cygwin’s Path Prefix
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Simple Example of RSA Encryption and Decryption
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Interacting with Google Maps Platform Web Services
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Assessing Goodness-of-Fit Quantitatively and Visually
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Calculating Distance Between Geographic Coordinate Pairs
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Interacting with Oracle from Pandas
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Online Mean and Variance Update without Full Recalculation
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Utilizing Zero-Width Assertions with grep
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Developing Command Line Applications with argparse and configparser
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Representing Empirical Loss Data Visually with ggplot2
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Visualizing Population Density by Zip Code with basemap
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User-Defined Variable Argument Functions in R
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Aggregate Operations in R with data.table
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Performance Optimization with Rcpp
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User-Defined Binary Operators in R
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The Beta Function and its Variants
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Four Approaches to Loss Triangle Compilation in R
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Communicating Between Processes with Sockets in R
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Clustering in Python with k-means
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Shared Data Parallel Processing in Python
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LOESS - Nonparametric Scatterplot Smoothing in Python
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Introduction to data.table’s Special Symbols
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Using scp to Copy Files to Remote Servers
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Connecting to Virtual Machine Instance via ssh
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The Python Standard Library
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scikit-learn
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Scipy.org
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Journal of Machine Learning Research
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Journal of Statistical Software
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The Journal of Open Source Software
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Numerical Algorithms Group
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Free Software Foundation
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Beyond Your Plateau
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pelican-bootstrap3
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