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Introduction to Support Vector Machines and Other Kernel-based Learning Methods

Principles of Statistical Analysis: Learning from Randomized Experiments

Text analysis in Python for social scientists: discovery and exploration

Time Series Data Analysis in Oceanography: Applications Using MATLAB

Science of Science

Deep Learning in Science

Large-Scale Data Analytics With Python and Spark: A Hands-on Guide to Implementing Machine Learning Solutions

Think, Do, and Communicate Environmental Science

Data Visualization for Social and Policy Research: A Step-by-Step Approach Using R and Python

Mathematical pictures at a data science exhibition

Optimization for Data Analysis

Computational Topology for Data Analysis

Data Modeling for the Sciences: Applications, Basics, Computations

Data Modeling for the Sciences: Applications, Basics, Computations

Random Matrix Methods for Machine Learning

Time Series Data Analysis in Oceanography: Applications Using MATLAB

Quantitative Methods of Data Analysis for the Physical Sciences and Engineering

Model-Based Clustering and Classification for Data Science: With Applications in R : 50

Images as Data for Social Science Research: An Introduction to Convolutional Neural Nets for Image Classification

Unsupervised Machine Learning for Clustering in Political and Social Research

A first course in random matrix theory: for physicists, engineers and data scientists

Auditing Corporate Surveillance Systems: Research Methods for Greater Transparency

Modern Dimension Reduction

Quantitative methods of data analysis for the physical sciences and engineering

Sentiment analysis: mining opinions, sentiments, and emotions

The Science of Science

First Course in Random Matrix Theory: For Physicists, Engineers and Data Scientists

Data Science for Complex Systems

Text analysis in Python for social scientists: discovery and exploration

Privacy-Preserving Computing: For Big Data Analytics and AI

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