Chapman & Hall/CRC Data Science Series - Böcker

Explanatory Model Analysis

Explore, Explain, and Examine Predictive Models

Probability and Statistics for Data Science

Math + R + Data

Cybersecurity Analytics

JavaScript for Data Science

JavaScript for Data Science

Massive Graph Analytics

Public Policy Analytics

Code and Context for Data Science in Government

Public Policy Analytics

Code and Context for Data Science in Government

Data Science

A First Introduction

Data Science

A First Introduction

Tree-Based Methods for Statistical Learning in R

Supervised Machine Learning for Text Analysis in R

Supervised Machine Learning for Text Analysis in R

Data Analytics

A Small Data Approach

Getting (more out of) Graphics

Practice and Principles of Data Visualisation

Getting (more out of) Graphics

Practice and Principles of Data Visualisation

Introduction to IoT Analytics

Introduction to IoT Analytics

Explanatory Model Analysis

Explore, Explain, and Examine Predictive Models

Data Science for Sensory and Consumer Scientists

Tour of Data Science

Learn R and Python in Parallel

Tour of Data Science

Learn R and Python in Parallel

Practitioner’s Guide to Data Science

Practitioner’s Guide to Data Science

Predictive Modelling for Football Analytics

Predictive Modelling for Football Analytics

Hands-On Data Science for Librarians

Feature Engineering and Selection

A Practical Approach for Predictive Models

DevOps for Data Science