BOOKS - NETWORK TECHNOLOGIES - Security Analytics A Data Centric Approach to Informat...
Security Analytics A Data Centric Approach to Information Security - Edited by Mehak Khurana, Shilpa Mahajan 2022 PDF CRC Press BOOKS NETWORK TECHNOLOGIES
ECO~14 kg CO²

1 TON

Views
64458

Telegram
 
Security Analytics A Data Centric Approach to Information Security
Author: Edited by Mehak Khurana, Shilpa Mahajan
Year: 2022
Pages: 227
Format: PDF
File size: 32.39 MB
Language: ENG



Pay with Telegram STARS
''

You may also be interested in:

Security Analytics A Data Centric Approach to Information Security
Explainable Machine Learning for Geospatial Data Analysis A Data-Centric Approach
Data-Centric Security in Software Defined Networks (SDN) (Studies in Big Data, 149)
Data-Centric Security in Software Defined Networks (SDN)
Data-Centric Security in Software Defined Networks (SDN)
Security in IoT Social Networks (Intelligent Data-Centric Systems Sensor Collected Intelligence)
R Programming An Approach to Data Analytics
Learn Data Analytics For Beginners Data Analyst, Deep Learning, Neural Network, Python Data Analytics
Big Data Analytics A Hands-On Approach
Data Analytics and Python Programming 2 Bundle Manuscript Beginners Guide to Learn Data Analytics, Predictive Analytics and Data Science with Python Programming
Big Data Analytics A Social Network Approach
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
Machine Learning Approach for Cloud Data Analytics in IoT
Data Science for IoT Engineers A Systems Analytics Approach
Smart Grid using Big Data Analytics A Random Matrix Theory Approach
Practical Data Science with Hadoop and Spark: Designing and Building Effective Analytics at Scale (Addison-Wesley Data and Analytics)
Video Data Analytics for Smart City Applications: Methods and Trends (IoT and Big Data Analytics)
People-Centric Security Transforming Your Enterprise Security Culture
Data Analytics Principles, Tools, and Practices A Complete Guide for Advanced Data Analytics Using the Latest Trends, Tools
Data Centric Artificial Intelligence: A Beginner|s Guide (Data-Intensive Research)
Data Analytics Practical Guide to Leveraging the Power of Algorithms, Data Science, Data Mining, Statistics, Big Data, and Predictive Analysis to Improve Business, Work, and Life
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
Data Analytics: Practical Guide to Leveraging the Power of Algorithms, Data Science, Data Mining, Statistics, Big Data, and Predictive Analysis to Improve Business, Work, and Life
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 (English Edition)
Modern Data Analytics in Excel Using Power Query, Power Pivot, and More for Enhanced Data Analytics
Modern Data Analytics in Excel Using Power Query, Power Pivot, and More for Enhanced Data Analytics
Modern Data Analytics in Excel: Using Power Query, Power Pivot, and More for Enhanced Data Analytics
Data-Centric Machine Learning with Python: The ultimate guide to engineering and deploying high-quality models based on good data
AI-Centric Modeling and Analytics; Concepts, Technologies, and Applications
AI-Centric Modeling and Analytics; Concepts, Technologies, and Applications
Big Data and Analytics The key concepts and practical applications of Big Data analytics
Data Analytics in the AWS Cloud: Building a Data Platform for BI and Predictive Analytics on AWS
Big Data and Analytics The key concepts and practical applications of Big Data analytics
Getting Started with DuckDB: A practical guide for accelerating your data science, data analytics, and data engineering workflows
Hands-On Data Preprocessing in Python: Learn how to effectively prepare data for successful data analytics
Essential Data Analytics, Data Science, and AI A Practical Guide for a Data-Driven World
It|s All Analytics, Part III: The Applications of AI, Analytics, and Data Science (It|s All Analytics, 3)
Python for Data Analytics A Beginners Guide for Learning Python Data Analytics from A-Z