This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, Hadoop, decision trees, ensembles, correlation, outliers, regression, Python, R, Tensorflow, SVM, data reduction, feature selection, experimental design, time series, cross-validation, model fitting, dataviz, AI and many more. To keep receiving these articles, sign up on DSC.
Programming Languages for Data Science and ML – With Source Code Illustrations
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- Julia Programming Language Tutorials
- Python, Machine Learning, and Language Wars
- Shooting yourself in the foot in various programming languages
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- Best practices of orchestrating Python and R code in ML projects
- Top programming languages for Data Science
- Implementation of 17 classification algorithms in R
- 14 Useful Code Snippets
- Ten top languages for crunching Big Data
- Top programming languages in 2017
- Modern books on multiple programming languages – Question
- List of Companies using R
- The graveyard of programming languages
- History, Evolution and Classification of Programming Languages (2012)
- Machine Learning Libraries in Go Language (2015)
- Top Mistakes Developers Make When Using Python for Big Data Analytics
- R, Python or SAS: Which one should you learn first?
- Three interesting but little known programming languages
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- Will Python Replace Java?
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- Python code for our TwitterApp (API)
- Source code to compute all permutations of n elements
- Java versus Python (fun)
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