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Trustworthy online controlled experiments : a practical guide to A/B testing

Modern statistics for modern biology

Dive into deep learning

Introduction to environmental data science

Computer age statistical inference : algorithms, evidence, and data science

The science of science

Data mining and machine learning : fundamental concepts and algorithms

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

Exploring malicious hacker communities : toward proactive cyber defence

Genome-scale algorithm design : bioinformatics in the era of high-throughput sequencing

Model-based clustering and classification for data science : with applications in R

Cambridge handbook of qualitative digital research

Twitter : a digital socioscope

The art of feature engineering : essentials for machine learning

Macro-econophysics : new studies on economic networks and synchronization

Mining of massive datasets

Interpreting discrete choice models

Mining of Massive Datasets

Mining of massive datasets.

Sentiment Analysis: Mining Opinions, Sentiments, and Emotions

Twitter: A Digital Socioscope

Sentiment analysis: mining opinions, sentiments, and emotions

Social media mining: an introduction

Recommender Systems: An Introduction

Text Mining Handbook: Advanced Approaches in Analyzing Unstructured Data

Fundamentals of Stream Processing: Application Design, Systems, and Analytics

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

Data Analytics for Cybersecurity

Mining of massive datasets.

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

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