BOOKS - OS AND DB - Big Data and Social Science Data Science Methods and Tools for Re...
Big Data and Social Science Data Science Methods and Tools for Research and Practice, 2nd Edition - Ian Foster, Rayid Ghani, Ron S. Jarmin, Frauke Kreuter, Julia Lane 2021 PDF CRC Press BOOKS OS AND DB
ECO~18 kg CO²

1 TON

Views
23584

Telegram
 
Big Data and Social Science Data Science Methods and Tools for Research and Practice, 2nd Edition
Author: Ian Foster, Rayid Ghani, Ron S. Jarmin, Frauke Kreuter, Julia Lane
Year: 2021
Pages: 413
Format: PDF
File size: 26,4 MB
Language: ENG



Pay with Telegram STARS
''

You may also be interested in:

Big Data and Hadoop Fundamentals, tools, and techniques for data-driven success - 2nd Edition
Big Data and Hadoop Fundamentals, tools, and techniques for data-driven success - 2nd Edition
Data-Centric Security in Software Defined Networks (SDN) (Studies in Big Data, 149)
Big Data and Hadoop: Fundamentals, tools, and techniques for data-driven success - 2nd Edition
Handbook of Research on Big Data and the IoT (Advances in Data Mining and Database Management (ADMDM))
Data Visualization and Statistical Literacy for Open and Big Data
Sharing Big Data Safely Managing Data Security
Advanced Data Analytics with AWS Explore Data Analysis Concepts in the Cloud to Gain Meaningful Insights and Build Robust Data Engineering Workflows Across Diverse Data Sources
Advanced Data Analytics with AWS Explore Data Analysis Concepts in the Cloud to Gain Meaningful Insights and Build Robust Data Engineering Workflows Across Diverse Data Sources
Taming The Big Data Tidal Wave Finding Opportunities in Huge Data Streams with Advanced Analytics
Statistical and Machine-Learning Data Mining Techniques for Better Predictive Modeling and Analysis of Big Data, Third Edition
Data Science 2 Books in 1 Python Programming & Python for Data Science, The Ultimate Guide to Learn Machine Learning and Predictive Analytics from Scratch with Hands-On Projects
Supply Chain Performance Evaluation: Application of Data Envelopment Analysis (Studies in Big Data Book 122)
Data Intensive Computing Applications for Big Data
Big Data and Analytics The key concepts and practical applications of Big Data analytics
Big Data and Analytics The key concepts and practical applications of Big Data analytics
Advanced Data Analytics with AWS: Explore Data Analysis Concepts in the Cloud to Gain Meaningful Insights and Build Robust Data Engineering Workflows Across Diverse Data Sources (English Edition)
Textual Data Science with R (Chapman & Hall/CRC Computer Science & Data Analysis)
Python Data Science: Deep Learning Guide for Beginners with Data Science. Python Programming and Crush Course.
Data Smart Using Data Science to Transform Information into Insight, 2nd Edition
Data Smart Using Data Science to Transform Information into Insight, 2nd Edition
Becoming a Data Head: How to Think, Speak, and Understand Data Science, Statistics, and Machine Learning
Learning Data Science: Data Wrangling, Exploration, Visualization, and Modeling with Python
Becoming a Data Head How to Think, Speak, and Understand Data Science, Statistics, and Machine Learning
R for Data Science Import, Tidy, Transform, Visualize, and Model Data
Effective Data Science Infrastructure How to Make Data Scientists Productive
Python Data Science Handbook Essential Tools for Working with Data
Agile Data Science Building Data Analytics Applications with Hadoop
Python Data Science Handbook: Essential Tools for Working with Data
Data Mining and Exploration From Traditional Statistics to Modern Data Science
Introduction to Data Science Data Wrangling and Visualization with R, 2nd Edition
Training Data for Machine Learning Human Supervision from Annotation to Data Science (Final)
The Data Preparation Journey: Finding Your Way with R (Chapman and Hall CRC Data Science Series)
Practical Data Science with SAP Machine Learning Techniques for Enterprise Data, First Edition
Agile Data Science 2.0 Building Full-Stack Data Analytics Applications with Spark
The Real Work of Data Science Turning data into information, better decisions, and stronger organizations
Data Science Essentials with R Learn with focus on data manipulation, visualization, and machine learning
Learning Data Science Data Wrangling, Exploration, Visualization, and Modeling with Python (Final)
Effective Data Science Infrastructure How to make data scientists productive (MEAP Version 7)
Univariate, Bivariate, and Multivariate Statistics Using R Quantitative Tools for Data Analysis and Data Science