This article recommends free books which will teach you the basics of R, how to produce amazing plots, how to apply R to lots of disciplines, and how to efficiently program in R. Many of the books are open source.
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Tag: data science
Pretzel – fork of Jupyter
Pretzel is billed as a modern replacement for Jupyter Notebooks.
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Deep Learning with Open Source Python Software
Deep Learning is a subset of Machine Learning that uses multi-layers artificial neural networks to deliver state-of-the-art accuracy.
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16 Best Free and Open Source Natural Language Processing Tools
Natural language processing (NLP) is a field of computer science, artificial intelligence, and computational linguistics concerned with the interactions between computers and human (natural) languages.
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20 Best Free and Open Source Python Visualization Packages
Python has a fantastic range of packages to produce mesmerizing visualizations. We recommend the best free and open source Python tools.
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Cython – Optimising Static Compiler for Python
Cython is an optimising static compiler. This means that it can compile normal Python code without changes (with a few exceptions).
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Polynote – different kind of notebook
Polynote is an experimental polyglot notebook environment. It supports mixing multiple languages in one notebook.
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Spark Notebook – Interactive and Reactive Data Science using Scala and Spark
The Spark Notebook is aimed at enterprise environments, providing data scientists and data engineers with an interactive web-based editor.
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BeakerX – Successor to Beaker Notebook
BeakerX is a collection of kernels and extensions to the Jupyter interactive computing environment.
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Apache Zeppelin – Multi-purpose Notebook
Apache Zeppelin is a web-based notebook that enables interactive data analytics.
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