Read-alikes and related books

Books like Practical Data Science with R

What to read after Practical Data Science with R by Nina Zumel: 24 titles sharing themes of Data Mining, Data Processing, Intelligence (AI) & Semantics, and Tools, chosen for mood and literary overlap.

Data Mining Data Processing Intelligence (AI) & Semantics Tools Quality Assurance & Testing Databases Mathematical & Statistical Software Data Modeling & Design Systems Analysis & Design Project Management Software Development & Engineering Computers

Top related books to Practical Data Science with R

Read-alikes chosen for how well they continue the mood, themes, and voice of Practical Data Science with R.

El Proceso de Desarrollo de Software

Raúl Noriega Martínez

Themes: Tools • Quality Assurance & Testing • Mathematical & Statistical Software

Aprende a Programar para Android 2ª Edición

Ángel Arias

Themes: Tools • Quality Assurance & Testing • Mathematical & Statistical Software

Backbone JS JavaScript Framework

Guillermo Lorenzo Carvallo

Themes: Tools • Quality Assurance & Testing • Mathematical & Statistical Software

Aprende a Programar en C ++

Joaquín Ramón Reyes Sandler

Themes: Tools • Quality Assurance & Testing • Mathematical & Statistical Software

Software Architecture Metrics Case Studies to Improve the Quality of Your Architecture

Christian Ciceri

Themes: Tools • Quality Assurance & Testing • Systems Analysis & Design

Software Engineering at Google Lessons Learned from Programming Over Time

Titus Winters

Themes: Tools • Quality Assurance & Testing • Systems Analysis & Design

Continuous Delivery Handbook Non Programmer’s Guide to DevOps, Microservices and Kubernetes

Stephen Fleming

Themes: Tools • Systems Analysis & Design • Project Management

Functional and Reactive Domain Modeling

Debasish Ghosh

Themes: Tools • Data Modeling & Design • Systems Analysis & Design

Association Rule Hiding for Data Mining

Aris Gkoulalas-Divanis

Themes: Intelligence (AI) & Semantics • Databases • Systems Analysis & Design

#10

Handbook of Cardiac Electrophysiology, Second Edition

Andrea Natale

Themes: Data Mining • Databases • Project Management

#11

Requirements Engineering Fundamentals A Study Guide for the Certified Professional for Requirements Engineering Exam – Foundation Level – IREB Compliant

Klaus Pohl

Themes: Tools • Quality Assurance & Testing • Systems Analysis & Design

#12

Multimedia Data Mining and Knowledge Discovery

Valery A. Petrushin

Themes: Data Mining • Data Processing • Databases

#13

Redis in Action

Josiah L Carlson

Themes: Tools • Systems Analysis & Design • Project Management

#14

Natural Language Processing Semantic Aspects

Epaminondas Kapetanios

Themes: Data Mining • Databases • Systems Analysis & Design

#15

Web Data Mining Exploring Hyperlinks, Contents, and Usage Data

Bing Liu

Themes: Data Mining • Intelligence (AI) & Semantics • Databases

#16

Computer and Computing Technologies in Agriculture II, Volume 1 The Second IFIP International Conference on Computer and Computing Technologies in Agriculture (CCTA2008), October 18-20, 2008, Beijing, China

Daoliang Li

Themes: Data Modeling & Design • Systems Analysis & Design • Software Development & Engineering

#17

Open Source Software for Statistical Analysis of Big Data Emerging Research and Opportunities

Richard S. Segall

Themes: Mathematical & Statistical Software • Data Modeling & Design • Software Development & Engineering

#18

Decision Making in Risk Management Quantifying Intangible Risk Factors in Projects

Christopher O. Cox

Themes: Systems Analysis & Design • Project Management • Software Development & Engineering

#19

Mastering Salesforce Reports and Dashboards Drive Business Decisions with Your CRM Data

David Carnes

Themes: Tools • Systems Analysis & Design • Software Development & Engineering

#20

Mobile Microservices Building Flexible Pervasive Applications

Nanxi Chen

Themes: Tools • Systems Analysis & Design • Software Development & Engineering

#21

Leading Quality How Great Leaders Deliver High Quality Software and Accelerate Growth — Ronald Cummings – John

Ronald Cummings - John

Themes: Quality Assurance & Testing • Project Management • Software Development & Engineering

#22

Digital Transformation and Modernization with IBM API Connect A Practical Guide to Developing, Deploying, and Managing High-Performance and Secure Hybrid-Cloud APIs

Bryon Kataoka

Themes: Tools • Systems Analysis & Design • Software Development & Engineering

#23

What Makes the Systems Engineer Successful? Various Surveys Suggest An Answer

Howard Eisner

Themes: Systems Analysis & Design • Project Management • Software Development & Engineering

#24

Modern DevOps Practices Implement, Secure, and Manage Applications on the Public Cloud by Leveraging Cutting-Edge Tools

Gaurav Agarwal

Themes: Tools • Systems Analysis & Design • Software Development & Engineering

A curated shelf of 24 read-alikes for Practical Data Science with R by Nina Zumel — spanning Data Mining, Data Processing, Intelligence (AI) & Semantics and featuring authors such as Raúl Noriega Martínez, Ángel Arias, Guillermo Lorenzo Carvallo, Joaquín Ramón Reyes Sandler, and others.

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More by Nina Zumel More books tagged Data Mining Explore Data Processing