我爱电子书 - 数据科学

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标签名: 数据科学

应用预测建模 — 出版日期: 2016-01

应用预测建模

评分: 9.7

R数据科学 — 出版日期: 2018-01

R数据科学

评分: 9.6

R for Data Science: Visualize, Model, Transform, Tidy, and Import Data — 出版日期: 2016-01

R for Data Science: Visualize, Model, Transform, Tidy, and Import Data

评分: 9.4

Neural Networks and Deep Learning — 出版日期: 2016-01

Neural Networks and Deep Learning

评分: 9.4

The Art of Statistics: Learning from Data — 出版日期: 2019-01

The Art of Statistics: Learning from Data

评分: 9.3

Applied Predictive Modeling — 出版日期: 2013-01

Applied Predictive Modeling

评分: 9.3

R语言入门与实践 — 出版日期: 2016-01

R语言入门与实践

评分: 9.2

Python Data Science Handbook: Tools and Techniques for Developers — 出版日期: 2016-01

Python Data Science Handbook: Tools and Techniques for Developers

评分: 9.2

Practical Statistics for Data Scientists: 50 Essential Concepts — 出版日期: 2016-01

Practical Statistics for Data Scientists: 50 Essential Concepts

评分: 9.2

Statistical Rethinking: A Bayesian Course with Examples in R and Stan — 出版日期: 2015-01

Statistical Rethinking: A Bayesian Course with Examples in R and Stan

评分: 9.1

Text Mining with R: A Tidy Approach — 出版日期: 2017-01

Text Mining with R: A Tidy Approach

评分: 9.1

Numerical Python: A Practical Techniques Approach for Industry: A Practical Techniques Approach for Industry — 出版日期: 2015-01

Numerical Python: A Practical Techniques Approach for Industry: A Practical Techniques Approach for Industry

评分: 9.1

Storytelling with Data: A Data Visualization Guide for Business Professionals — 出版日期: 2015-01

Storytelling with Data: A Data Visualization Guide for Business Professionals

评分: 9.0

Introduction to Applied Linear Algebra: Vectors, Matrices, and Least Squares — 出版日期: 2018-01

Introduction to Applied Linear Algebra: Vectors, Matrices, and Least Squares

评分: 9.0

Python Crash Course, 2nd Edition: A Hands-On, Project-Based Introduction to Programming — 出版日期: 2019-01

Python Crash Course, 2nd Edition: A Hands-On, Project-Based Introduction to Programming

评分: 8.9

Computer Age Statistical Inference: Algorithms, Evidence, and Data Science — 出版日期: 2016-01

Computer Age Statistical Inference: Algorithms, Evidence, and Data Science

评分: 8.9

Trustworthy Online Controlled Experiments: A Practical Guide to A/B Testing — 出版日期: 2020-01

Trustworthy Online Controlled Experiments: A Practical Guide to A/B Testing

评分: 8.9

数据科学中的R语言 — 出版日期: 2015-01

数据科学中的R语言

评分: 8.9

基于R语言的自动数据收集: 网络抓取和文本挖掘实用指南 — 出版日期: 2016-01

基于R语言的自动数据收集: 网络抓取和文本挖掘实用指南

评分: 8.8

Practical Data Science with R — 出版日期: 2014-01

Practical Data Science with R

评分: 8.8

Bioinformatics Data Skills: Reproducible and Robust Research with Open Source Tools — 出版日期: 2015-01

Bioinformatics Data Skills: Reproducible and Robust Research with Open Source Tools

评分: 8.5

The Model Thinker: What You Need to Know to Make Data Work for You — 出版日期: 2019-01

The Model Thinker: What You Need to Know to Make Data Work for You

评分: 8.4

The Hundred-Page Machine Learning Book — 出版日期: 2019-01

The Hundred-Page Machine Learning Book

评分: 8.4

数据科学实战 — 出版日期: 2015-08

数据科学实战

评分: 8.2