BOOKS - NATURAL SCIENCES - The Big Data Agenda Data Ethics and Critical Data Studies
The Big Data Agenda Data Ethics and Critical Data Studies - Annika Richterich 2018 PDF University of Westminster Press BOOKS NATURAL SCIENCES
ECO~12 kg CO²

1 TON

Views
57654

Telegram
 
The Big Data Agenda Data Ethics and Critical Data Studies
Author: Annika Richterich
Year: 2018
Pages: 156
Format: PDF
File size: 3.6 MB
Language: ENG



Pay with Telegram STARS
''

You may also be interested in:

Big Data Analytics Using Artificial Intelligence
High-Performance Big Data Computing
Cognitive Computing and Big Data Analytics
Big Data Analytics A Hands-On Approach
Modern Big Data Processing with Hadoop
Application of Big Data and Business Analytics
Big Data in ehealthcare Challenges and Perspectives
Big Data Analytics for Internet of Things
Spatial Planning in the Big Data Revolution
The Intelligent Enterprise in the Era of Big Data
Big Data and Smart Service Systems
Reliability Assurance of Big Data in the Cloud
Big Data for Entrepreneurship and Sustainable Development
Big Data Analytics Methods and Applications
Machine Learning for Big Data Analysis
Big Data in Medical Image Processing
Big Data Analytics for Sustainable Computing
The Big Data Opportunity in Our Driverless Future
Mathematical Foundations of Big Data Analytics
Python Machine Learning Discover the Essentials of Machine Learning, Data Analysis, Data Science, Data Mining and Artificial Intelligence Using Python Code with Python Tricks
Controlling Privacy and the Use of Data Assets - Volume 2 What is the New World Currency – Data or Trust?
Data Analytics for Absolute Beginners A Deconstructed Guide to Data Literacy, Second Edition
Becoming a Data Head: How to Think, Speak, and Understand Data Science, Statistics, and Machine Learning
Data Warehouse and Data Mining Concepts, techniques and real life applications
Streaming Data Mesh: A Model for Optimizing Real-Time Data Services
Real-Time Data Analytics for Large Scale Sensor Data Volume Six
SQL for Data Analysis Advanced Techniques for Transforming Data into Insights (Final)
Data Quality Engineering in Financial Services Applying Manufacturing Techniques to Data
Data Smart Using Data Science to Transform Information into Insight, 2nd Edition
Data Warehouse and Data Mining Concepts, techniques and real life applications
Confident Data Skills Master the Fundamentals of Working with Data and Supercharge Your Career
Becoming a Data Head How to Think, Speak, and Understand Data Science, Statistics, and Machine Learning
Data in Context: Models as Enablers for Managing and Using Data (The Enterprise Engineering Series)
Cloud Data Center Network Architectures and Technologies (Data Communication Series)
Unifying Business, Data, and Code: Designing Data Products With Json Schema
The Functional Approach to Data Management: Modeling, Analyzing and Integrating Heterogeneous Data
Learning Data Science: Data Wrangling, Exploration, Visualization, and Modeling with Python
Unifying Business, Data, and Code Designing Data Products With JSON Schema
Data Smart Using Data Science to Transform Information into Insight, 2nd Edition
IBM Cloud Pak for Data: An enterprise platform to operationalize data, analytics, and AI