BOOKS - OS AND DB - Data Science Advancements in Pandemic and Outbreak Management
Data Science Advancements in Pandemic and Outbreak Management - Eleana Asimakopoulou, Nik Bessis 2021 PDF IGI Global BOOKS OS AND DB
ECO~14 kg CO²

1 TON

Views
40028

Telegram
 
Data Science Advancements in Pandemic and Outbreak Management
Author: Eleana Asimakopoulou, Nik Bessis
Year: 2021
Pages: 255
Format: PDF
File size: 7 MB
Language: ENG



Pay with Telegram STARS
''

You may also be interested in:

Python for Data Science Comprehensive Guide of Tips and Tricks using Python Data Science
Data Science From Scratch Comprehensive Beginners Guide To Learn Data Science From Scratch
Communicating Science in Times of Crisis COVID-19 Pandemic
Practical Data Science with Jupyter Explore Data Cleaning, Pre-processing, Data Wrangling, Feature Engineering and Machine Learning using Python and Jupyter
Data Science Projects with Python: A case study approach to successful data science projects using Python, pandas, and scikit-learn
Big data A Guide to Big Data Trends, Artificial Intelligence, Machine Learning, Predictive Analytics, Internet of Things, Data Science, Data Analytics, Business Intelligence, and Data Mining
Big Data Demystified: How to use big data, data science and AI to make better business decisions and gain competitive advantage
Learning from the COVID-19 Pandemic: Implications for Science, Health, and Healthcare
Python Data Science An Essential Crash Course Made Accessible to Start Working With Essential Tools, Techniques and Concepts that Help you Learn Python Data Science (python for beginners Book 2)
Business Intelligence An Essential Beginner’s Guide to BI, Big Data, Artificial Intelligence, Cybersecurity, Machine Learning, Data Science, Data Analytics, Social Media and Internet Marketing
Advancements in Materials Science and Technology Led by Women (Advanced Structured Materials, 165)
Python For Data Science The Ultimate Beginners’ Guide to Learning Python Data Science Step by Step
Introducing Data Science Big data, machine learning, and more, using Python tools
Data Smart Using Data Science to Transform Information into Insight, 2nd Edition
Learning Data Science: Data Wrangling, Exploration, Visualization, and Modeling with Python
Analytics in a Big Data World The Essential Guide to Data Science and its Applications
Becoming a Data Head How to Think, Speak, and Understand Data Science, Statistics, and Machine Learning
Becoming a Data Head: How to Think, Speak, and Understand Data Science, Statistics, and Machine Learning
Data Smart Using Data Science to Transform Information into Insight, 2nd Edition
R for Data Science Import, Tidy, Transform, Visualize, and Model Data
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
Agile Data Science Building Data Analytics Applications with Hadoop
Effective Data Science Infrastructure How to Make Data Scientists Productive
Python Data Science Handbook: Essential Tools for Working with Data
Univariate, Bivariate, and Multivariate Statistics Using R Quantitative Tools for Data Analysis and Data Science
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
The Real Work of Data Science Turning data into information, better decisions, and stronger organizations
Learning Data Science Data Wrangling, Exploration, Visualization, and Modeling with Python (Final)
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
Effective Data Science Infrastructure How to make data scientists productive (MEAP Version 7)
Data Science Essentials with R Learn with focus on data manipulation, visualization, and machine learning
R Graphics Essentials for Great Data Visualization +200 Practical Examples You Want to Know for Data Science
Training Data for Machine Learning Human Supervision from Annotation to Data Science (Final)
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)
Computer Science in Sport Modeling, Simulation, Data Analysis and Visualization of Sports-Related Data