BOOKS - NETWORK TECHNOLOGIES - Data Science for Cyber-Security
Data Science for Cyber-Security - Nick Heard, Niall Adams, Patrick Rubin-Delanchy 2019 PDF World Scientific Publishing BOOKS NETWORK TECHNOLOGIES
ECO~15 kg CO²

1 TON

Views
30816

Telegram
 
Data Science for Cyber-Security
Author: Nick Heard, Niall Adams, Patrick Rubin-Delanchy
Year: 2019
Pages: 305
Format: PDF
File size: 20.4 MB
Language: ENG



Pay with Telegram STARS
''

You may also be interested in:

Learn Data Science Using Python A Quick-Start Guide
Data Science with Machine Learning Python Interview Questions
Data Science Tools R, Excel, KNIME, & OpenOffice
Basic Experimental Strategies and Data Analysis for Science and Engineering
Learn Data Science Using Python A Quick-Start Guide
Game Theory for Data Science Eliciting Truthful Information
Data Science for Civil Engineering: A Beginner|s Guide
Introduction to Data Science with Python Basics of Numpy and Pandas
Data Science (The 2018 WorldComp International Conference Proceedings)
Introduction to Data Science in Biostatistics Using R, the Tidyverse Ecosystem, and APIs
Роман с Data Science. Как монетизировать большие данные
Data Science for IoT Engineers A Systems Analytics Approach
Model-Based Clustering and Classification for Data Science With Applications in R
Scaling Python with Dask: From Data Science to Machine Learning
Data Science with Java Practical Methods for Scientists and Engineers
Analytical Thinking for AI and Data Science Asking the Right Questions (Early Release)
Data Science and Machine Learning Applications in Subsurface Engineering
Data Science for Decision Makers Using Analytics and Case Studies
Elements of Data Science, Machine Learning, and Artificial Intelligence Using R
Data Science on the Google Cloud Platform, 2nd Edition
Data Science and Machine Learning Applications in Subsurface Engineering
Working with Network data A Data Science Perspective
Arduino Measurements in Science: Advanced Techniques and Data Projects
Elements of Data Science, Machine Learning, and Artificial Intelligence Using R
Data Science Bookcamp Five real-world Python projects
Human Factor in Nuclear Security: Establishing and Optimizing Security Culture (Advanced Sciences and Technologies for Security Applications)
Advanced Computer Science Applications Recent Trends in AI, Machine Learning, and Network Security
TERAHERTZ SCIENCE AND TECHNOLOGY FOR MILITARY AND SECURITY APPLICATIONS (Selected Topics in Electronics and Systems)
Intelligent Data Analysis From Data Gathering to Data Comprehension (The Wiley Series in Intelligent Signal and Data Processing)
Scaling Python with Dask From Data Science to Machine Learning (Final)
Data Science Fusion Integrating Maths, Python, and Machine Learning
Graph Algorithms for Data Science With examples in Neo4j (Final Release)
Python Data Science Handbook, 2nd Edition (Early Release)
Data Science in Production Building Scalable Model Pipelines with Python
Data Science and Machine Learning for Non-Programmers Using SAS Enterprise Miner
Data Science at the Command Line, 2nd Edition (Early Release)
Серия "Data Science. Лучшие книги о науке о данных" в 2 книгах
Linear Algebra for Data Science, Machine Learning, and Signal Processing
Machine Learning in Business An Introduction to the World of Data Science Second Edition
Football Analytics with Python and R: Learning Data Science Through the Lens of Sports