BOOKS - Data Conscience
Data Conscience - Brandeis Hill Marshall PDF BOOKS
Stars49 Stars 2 TON

Views
37549

Telegram
 
Data Conscience
Author: Brandeis Hill Marshall
Format: PDF
File size: PDF 11 MB
Language: English



Pay with Telegram STARS
''

You may also be interested in:

Data Mining and Exploration From Traditional Statistics to Modern Data Science
Foundations for Architecting Data Solutions Managing Successful Data Projects
SQL for Data Analysis: Advanced Techniques for Transforming Data into Insights
Data and AI Driving Smart Cities (Studies in Big Data, 128)
Python Data Science Handbook Essential Tools for Working with Data
The Shape of Data: Geometry-Based Machine Learning and Data Analysis in R
Data Analytics and Machine Learning Navigating the Big Data Landscape
Python Data Science Handbook: Essential Tools for Working with Data
Introduction to Data Science Data Wrangling and Visualization with R, 2nd Edition
Data Mesh Delivering Data-Driven Value at Scale (Third Early Release)
Data as a Service A Framework for Providing Reusable Enterprise Data Services
Data Visualisation A Handbook for Data Driven Design 2nd Edition
Behavioral Data Analysis with R and Python: Customer-Driven Data for Real Business Results
The Data Preparation Journey: Finding Your Way with R (Chapman and Hall CRC Data Science Series)
Data Universe Organizational Insights with Python Embracing Data Driven Decision Making
Data Universe Organizational Insights with Python Embracing Data Driven Decision Making
Big Data, Data Mining, and Machine Learning Value Creation for Business Leaders and Practitioners
Effective Data Science Infrastructure How to make data scientists productive (MEAP Version 7)
Data Universe: Organizational Insights with Python: Embracing Data Driven Decision Making
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
R Graphics Essentials for Great Data Visualization +200 Practical Examples You Want to Know for Data Science
Univariate, Bivariate, and Multivariate Statistics Using R Quantitative Tools for Data Analysis and Data Science
Data Mesh Principles, Patterns, Architecture, and Strategies for Data-Driven Decision Making
Training Data for Machine Learning Human Supervision from Annotation to Data Science (Final)
Learning Data Science Data Wrangling, Exploration, Visualization, and Modeling with Python (Final)
Agile Data Science 2.0 Building Full-Stack Data Analytics Applications with Spark
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 Science Essentials with R Learn with focus on data manipulation, visualization, and machine learning
Training Data for Machine Learning Human Supervision from Annotation to Data Science (Final)
Big Data, Small Devices Investigating the Natural World Using Real-Time Data
The Real Work of Data Science Turning data into information, better decisions, and stronger organizations
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)
Humanizing Big Data: Marketing at the Meeting of Data, Social Science and Consumer Insight
Practical Data Science with SAP Machine Learning Techniques for Enterprise Data, First Edition
Data Governance The Definitive Guide People, Processes, and Tools to Operationalize Data Trustworthiness
SQL for Data Analysis Advanced Techniques for Transforming Data into Insights (Early Release)
Learning Data Science Data Wrangling, Exploration, Visualization, and Modeling with Python (Final)