Data Skeptic is a podcast hosted by Kyle Polich, featuring interviews with experts on data science, machine learning, AI, and statistics.
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Dataframes for machine-learning and statistics (similar to pandas).
Machine Learning framework for rapid development of Machine Learning and Statistical applications.
A collection of functions for mathematical and statistical computing, macine learning, etc., wrapping several JVM libraries.
Crafty statistical graphics for Julia.
Simple and friendly way of teaching your non-data scientist/non-statistician colleagues. From Geckoboard's Data Literacy Lessons.
Incanter is a Clojure-based, R-like platform for statistical computing and graphics.
An international journal devoted to applications of statistical methods at large.
A library of statistical distribution sampling and transducing functions.
A Julia package for fitting (statistical) mixed-effects models.
Matlab is a great language for prototyping ideas. It comes with many libraries specially for machine learning and statistics. But when….
Free open-source SPSS alternative — menu-driven desktop statistics (t-tests, ANOVA, regression, survival analysis, ROC) with SPSS.sav import/export.
A general statistics and machine learning library.
Python bindings for ZPar, a statistical part-of-speech-tagger, constituency parser, and dependency parser for English.
Statistics, data mining and machine learning toolbox in Java.
Open-source project that applies AI to data analysis, extraction, visualization, or business intelligence.
Statistical Machine Intelligence and Learning Engine.
Python-based inferential statistics, hypothesis testing and regression framework.
Statistical modelling and econometrics in Python.
Vaex is a Python library that allows you to visualize large datasets and calculate statistics at high speeds.
Python-zpar - Python bindings for, a statistical part-of-speech-tagger, constituency parser, and dependency parser for English.