Data Science / R 語言
R語言是一種專門用於統計分析和資料科學的程式語言
開源免費:R語言是一個開源的程式語言,任何人都可以自由地下載和使用,且社群活躍,提供了大量的免費資源和支援。
大量的統計和資料科學函數:R語言提供了大量的統計和資料科學函數,能夠輕鬆地進行數據清理、處理、分析和可視化。
良好的圖形化能力:R語言內建了豐富的圖形化能力,能夠輕鬆地製作各種資料視覺化圖表,並且能夠輕鬆地自定義圖表和圖形設計。
相關書籍
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R Programming Fundamentals: Deal with data using various modeling techniques$1,500$1,425 -
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Reproducible Finance with R: Code Flows and Shiny Apps for Portfolio Analysis$8,710$8,275 -
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Exploratory Data Analysis Using R$2,940$2,793 -
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Introduction to Statistics and Data Analysis: With Exercises, Solutions and Applications in R$3,820$3,629 -
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Data Science with SQL Server Quick Start Guide: Integrate SQL Server with data science$1,440$1,368 -
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Hands-On Dashboard Development with Shiny: A practical guide to building effective web applications and dashboards$1,110$1,055 -
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Learning Jupyter 5: Explore interactive computing using Python, Java, JavaScript, R, Julia, and JupyterLab, 2nd Edition$1,650$1,568 -
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Empirical Likelihood Methods in Biomedicine and Health$7,570$7,192 -
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R Deep Learning Essentials - Second Edition: A step-by-step guide to building deep learning models using TensorFlow, Keras, and MXNet$1,650$1,568 -
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Quantitative Biology: Theory, Computational Methods, and Models (Hardcover)$2,600$2,470 -
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Applied Analytics through Case Studies Using SAS and R: Implementing Predictive Models and Machine Learning Techniques$2,380$2,261 -
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The Basics of Item Response Theory Using R (Statistics for Social and Behavioral Sciences)$4,590$4,361 -
80折
$1,216Hands-On Ensemble Learning with R: A beginner's guide to combining the power of machine learning algorithms using ensemble techniques -
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R Markdown: The Definitive Guide (Chapman & Hall/CRC The R Series)$1,500$1,425 -
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Flexible Imputation of Missing Data, Second Edition$4,560$4,332 -
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Regular Expressions: Pocket Primer$1,520$1,444 -
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Learning SAS by Example: A Programmer's Guide, Second Edition: A Programmer's Guide, Second Edition$3,530$3,354 -
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The Unicode Cookbook for Linguists$1,130$1,074 -
80折
$1,568Pro Machine Learning Algorithms: A Hands-On Approach to Implementing Algorithms in Python and R -
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Qca with R: A Comprehensive Resource$7,920$7,524 -
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Singular Spectrum Analysis with R (Use R!)$2,980$2,831 -
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$792Domain-Specific Languages in R: Advanced Statistical Programming -
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Quantitative Investment Portfolio Analytics In R: An Introduction To R For Modeling Portfolio Risk and Return (Paperback)$1,060$1,007 -
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Sound Analysis and Synthesis with R (Use R!)$3,140$2,983 -
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Nonparametric Models for Longitudinal Data: With Implementation in R (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)$6,290$5,976 -
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Simulation and Inference for Stochastic Processes with YUIMA: A Comprehensive R Framework for SDEs and Other Stochastic Processes (Use R!)$2,600$2,470 -
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Introduction to Nonparametric Statistics for the Biological Sciences Using R$3,040$2,888 -
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Examples in Parametric Inference with R$3,040$2,888 -
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Exploratory Data Analysis Using R (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)$7,570$7,192 -
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Reinforcement Learning with R$1,680$1,596