BOOKS - OS AND DB - Data Action Using Data for Public Good (The MIT Press)
Data Action Using Data for Public Good (The MIT Press) - Sarah Williams 2020 PDF The MIT Press BOOKS OS AND DB
ECO~15 kg CO²

1 TON

Views
28938

Telegram
 
Data Action Using Data for Public Good (The MIT Press)
Author: Sarah Williams
Year: 2020
Pages: 307
Format: PDF
File size: 72 MB
Language: ENG



Pay with Telegram STARS
''

You may also be interested in:

Data and AI Driving Smart Cities (Studies in Big Data, 128)
Data Analytics and Machine Learning Navigating the Big Data Landscape
Multi-dimensional Urban Sensing Using Crowdsensing Data (Data Analytics)
SQL for Data Analysis: Advanced Techniques for Transforming Data into Insights
Data Wrangling on AWS: Clean and organize complex data for analysis
Big Data and Analytics for Beginners: Navigating the World of Data-Driven Decision Making
Data Mesh Principles, Patterns, Architecture, and Strategies for Data-Driven Decision Making
R Graphics Essentials for Great Data Visualization +200 Practical Examples You Want to Know for Data Science
Behavioral Data Analysis with R and Python: Customer-Driven Data for Real Business Results
Data Governance The Definitive Guide People, Processes, and Tools to Operationalize Data Trustworthiness
The Data Preparation Journey: Finding Your Way with R (Chapman and Hall CRC Data Science Series)
Humanizing Big Data: Marketing at the Meeting of Data, Social Science and Consumer Insight
Humanities Data in R Exploring Networks, Geospatial Data, Images, and Text, 2nd Edition
Training Data for Machine Learning Human Supervision from Annotation to Data Science (Final)
Agile Data Science 2.0 Building Full-Stack Data Analytics Applications with Spark
Practical Data Science with SAP Machine Learning Techniques for Enterprise Data, First Edition
Learning Data Science Data Wrangling, Exploration, Visualization, and Modeling with Python (Final)
Behavioral Data Analysis with R and Python Customer-Driven Data for Real Business Results
Training Data for Machine Learning Human Supervision from Annotation to Data Science (Final)
Data Mesh Principles, Patterns, Architecture, and Strategies for Data-Driven Decision Making
Python for Data Analysis Data Wrangling with Pandas, NumPy, and IPython, 2nd Edition
Data Universe Organizational Insights with Python Embracing Data Driven Decision Making
Tableau for Salesforce Visualise data and generate insights with the leading platforms for data analytics
Humanities Data in R Exploring Networks, Geospatial Data, Images, and Text, 2nd Edition
Tableau for Salesforce Visualise data and generate insights with the leading platforms for data analytics
Data Centric Artificial Intelligence: A Beginner|s Guide (Data-Intensive Research)
The Self-Service Data Roadmap Democratize Data and Reduce Time to insight (Early Release)
Effective Data Science Infrastructure How to make data scientists productive (MEAP Version 7)
Data Universe Organizational Insights with Python Embracing Data Driven Decision Making
Learning Data Science Data Wrangling, Exploration, Visualization, and Modeling with Python (Final)
Data Science Essentials with R Learn with focus on data manipulation, visualization, and machine learning
Data Universe: Organizational Insights with Python: Embracing Data Driven Decision Making
Univariate, Bivariate, and Multivariate Statistics Using R Quantitative Tools for Data Analysis and Data Science
The Real Work of Data Science Turning data into information, better decisions, and stronger organizations
Big Data, Small Devices Investigating the Natural World Using Real-Time Data
SQL for Data Analysis Advanced Techniques for Transforming Data into Insights (Early Release)
Big Data, Data Mining, and Machine Learning Value Creation for Business Leaders and Practitioners
D3.js in Action Data visualization with javascript, 2nd Edition
Practical Data Science with SAP Machine Learning Techniques for Enterprise Data, Early Release
Web Data APIs for Knowledge Graphs Easing Access to Semantic Data for Application Developers