我爱电子书 - Data

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标签名: Data

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

DATA VISUALIZATION: Convey \ Clarify \ Construct — 出版日期: 2011-01

DATA VISUALIZATION: Convey \ Clarify \ Construct

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

Data Structures and Algorithm Analysis in Java: 3rd Edition — 出版日期: 2011-01

Data Structures and Algorithm Analysis in Java: 3rd Edition

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

Mining of Massive Datasets: 2nd Edition — 出版日期: 2014-01

Mining of Massive Datasets: 2nd Edition

评分: 8.9

Managing Gigabytes: Compressing and Indexing Documents and Images — 出版日期: 1999-01

Managing Gigabytes: Compressing and Indexing Documents and Images

评分: 8.8

Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management — 出版日期: 2004-01

Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management

评分: 8.5

The Truthful Art: Data, Charts, and Maps for Communication — 出版日期: 2016-01

The Truthful Art: Data, Charts, and Maps for Communication

评分: 8.3

Advanced Analytics with Spark: Patterns for Learning from Data at Scale — 出版日期: 2015-01

Advanced Analytics with Spark: Patterns for Learning from Data at Scale

评分: 8.3

Beautiful Data: The Stories Behind Elegant Data Solutions — 出版日期: 2009-01

Beautiful Data: The Stories Behind Elegant Data Solutions

评分: 8.1

Visualize This: The FlowingData Guide to Design, Visualization, and Statistics — 出版日期: 2011-01

Visualize This: The FlowingData Guide to Design, Visualization, and Statistics

评分: 8.0

Head First Data Analysis: A Learner's Guide to Big Numbers, Statistics, and Good Decisions — 出版日期: 2009-01

Head First Data Analysis: A Learner's Guide to Big Numbers, Statistics, and Good Decisions

评分: 7.5

Foundations of Data Science: A Practical Introduction to Data Science with Python — 出版日期: 2018-01

Foundations of Data Science: A Practical Introduction to Data Science with Python

评分: 0.0

Data Lake Architecture: Designing the Data Lake and Avoiding the Garbage Dump — 出版日期: 2016-01

Data Lake Architecture: Designing the Data Lake and Avoiding the Garbage Dump

评分: 0.0

Fundamentals of Machine Learning for Predictive Data Analytics: Algorithms, Worked Examples, and Case Studies — 出版日期: 2015-01

Fundamentals of Machine Learning for Predictive Data Analytics: Algorithms, Worked Examples, and Case Studies

评分: 0.0

Marketing Data Science: Modeling Techniques in Predictive Analytics with R and Python — 出版日期: 2015-01

Marketing Data Science: Modeling Techniques in Predictive Analytics with R and Python

评分: 0.0

Text Mining: A Guidebook For The Social Sciences — 出版日期: 2016-01

Text Mining: A Guidebook For The Social Sciences

评分: 0.0

The Data Warehouse Toolkit: The Definitive Guide to Dimensional Modeling — 出版日期: 2013-01

The Data Warehouse Toolkit: The Definitive Guide to Dimensional Modeling

评分: 0.0

The Efficiency Paradox: What Big Data Can't Do — 出版日期: 2018-01

The Efficiency Paradox: What Big Data Can't Do

评分: 0.0

企业数据湖 — 出版日期: 2019-01

企业数据湖

评分: 0.0

Effective Data Visualization: The Right Chart for the Right Data — 出版日期: 2016-01

Effective Data Visualization: The Right Chart for the Right Data

评分: 0.0

R for Data Science — 出版日期: 2014-01

R for Data Science

评分: 0.0

Avoiding Data Pitfalls: How to Steer Clear of Common Blunders When Working with Data and Presenting Analysis and Visualizations — 出版日期: 2019-01

Avoiding Data Pitfalls: How to Steer Clear of Common Blunders When Working with Data and Presenting Analysis and Visualizations

评分: 0.0