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Principles of statistical analysis : learning from randomized experiments

Text analysis in Python for social scientists : discovery and exploration

Unsupervised machine learning for clustering in political and social research

An introduction to support vector machines : and other kernel-based learning methods

Data visualization for social and policy research : a step-by-step approach using R and Python

Images as data for social science research : an introduction to convolutional neural nets for image classification

Text analysis in Python for social scientists : discovery and exploration

Auditing corporate surveillance systems : research methods for greater transparency

Modern dimension reduction

Time series data analysis in oceanography : applications using MATLAB

Principles of statistical analysis : learning from randomized experiments

The science of science

Think, do, and communicate environmental science

Modern Statistics for Modern Biology

Think, do, and communicate environmental science

Digital design for computer data acquisition

Mathematical pictures at a data science exhibition

Digital Design for Computer Data Acquisition

A practical introduction to regression discontinuity : extensions

Mathematical Pictures at a Data Science Exhibition

An introduction to support vector machines: and other kernel-based learning methods

Large sample covariance matrices and high-dimensional data analysis : Series Number 39 : Large Sample Covariance Matrices and High-Dimensional Data Analysis

Mining of massive datasets

Sentiment analysis : mining opinions, sentiments, and emotions

Exploiting Remotely Sensed Imagery

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