Confluence of AI, Machine, and Deep Learning in Cyber Forensics
Sanjay Misra, Chamundeswari Arumugam, Suresh Jaganathan, Saraswathi S.
Published 2020
248 pages
The most popular data science books of 2020
Data science books show you how to learn from data. Statistics, databases, visualization and machine learning are taught through practical examples, usually with code. Beginners will find gentle introductions and working analysts will find deeper references. Good reading for a career change, too. This list shows the ones first published in 2020.
Results
Data Processing Techniques and Applications for Cyber-Physical Systems (DPTA 2019)
Chuanchao Huang, Yu-Wei Chan, Neil Yen
Published 2020
2059 pages
2020 International Conference on Applications and Techniques in Cyber Intelligence Applications and Techniques in Cyber Intelligence (ATCI 2020)
Jemal H. Abawajy, Kim-Kwang Raymond Choo, Zheng Xu, Mohammed Atiquzzaman
Published 2020
1144 pages
Cyber-Physical Threat Intelligence for Critical Infrastructures Security Securing Critical Infrastructures in Air Transport, Water, Gas, Healthcare, Finance and Industry
John Soldatos, Isabel Praça, Aleksandar Jovanović
2020 · 2021 edition
530 pages
Computer Programming
Jason Knox
Published 2020
330 pages
The Cyber Security Network Guide
Fiedelholtz
Published 2020
97 pages
2020 IEEE International Conference on Knowledge Graph (ICKG).
Enhong Chen
Published 2020
2020 IEEE International Conference on Data Mining (ICDM).
Claudia Plant
Published 2020
2020 IEEE 6th Intl Conference on Big Data Security on Cloud (BigDataSecurity), IEEE Intl Conference on High Performance and Smart Computing, (HPSC) and IEEE Intl Conference on Intelligent Data and Security (IDS).
Published 2020
Analyzing Spatial Models of Choice and Judgment
David A. Armstrong
Published 2020
320 pages
Learn Excel 365 Expert Skills with the Smart Method Fourth Edition
Mike Smart
Published 2020
644 pages
Julia for Machine Learning
Zacharias Voulgaris
Published 2020
298 pages
Cyber and Digital Forensic Investigations A Law Enforcement Practitioner’s Perspective
Nhien-An Le-Khac, Kim-Kwang Raymond Choo
2020 · 2021 edition
278 pages
Open Source Intelligence and Cyber Crime Social Media Analytics
Mohammad A. Tayebi, Uwe Glässer, David B. Skillicorn
Published 2020
251 pages
Dynamic Behavior Risk Assessment for Autonomous Systems
Frank Bomarius, Peter Liggesmeyer, Dieter Rombach, Patrik Feth, Kaiserslautern Fraunhofer IESE
Published 2020
162 pages
Data Science Concepts and Techniques with Applications
Usman Qamar, Muhammad Summair Raza
2020 · 2023 edition
498 pages
Uncertainty and Imprecision in Decision Making and Decision Support
Krassimir T. Atanassov, Vassia Atanassova, Janusz Kacprzyk, Andrzej Kałuszko, Maciej Krawczak, Jan W. Owsiński, Sotir Sotirov, Evdokia Sotirova, Eulalia Szmidt, Sławomir Zadrożny
Published 2020
440 pages
Computational and Methodological Statistics and Biostatistics Contemporary Essays in Advancement
Andriëtte Bekker, Ding-Geng (Din) Chen, Johannes T. Ferreira
Published 2020
543 pages
Guide to Intelligent Data Science
Michael R. Berthold, Christian Borgelt, Frank Höppner, Frank Klawonn, Rosaria Silipo
2020 · 2021 edition
436 pages
Advanced Python Scripting for ArcGIS Pro
Paul A. Zandbergen
Published 2020
290 pages
Learn Helm
Andrew Block, Austin Dewey
2020 · 4399 edition
344 pages
Data Science
Gintautas Dzemyda, Jolita Bernatavičienė, Janusz Kacprzyk
2020 · 2021 edition
332 pages
Social Media Marketing 2020 4 BOOKS IN 1 - Social Media for Beginners, Instagram Marketing to Become an Influencer, Facebook Advertising, Google AdWords (Analytics, SEO and ADS for Your Business)
Jeremy Preace
Published 2020
788 pages
Why AI/Data Science Projects Fail
Joyce Weiner
2020 · 2025 edition
71 pages