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Data Science Brazil
Reaching out to the international data science community, I would like to take an opportunity to congratulate my colleague and co-data science advocate Higino Filho on the launch of Data Science...
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Why BI projects fail – and the role of Data Architect
viveksingh36 During my long stint as business intelligence professional, I have seen many projects fail and of course, smelled some success. Let’s see what is common among successful projects and the...
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Getting Data Right
Tackling The Challenges of Big Data Volume and Variety Well-respected voices on shifting dynamics at the junction of data science and big data. Identifies a clear trend I am also tracking: the...
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Data Science – Tools and Methods: Practitioner Perspectives
Data Science – Tools and Methods: Practitioner Perspectives Erasmus University Rotterdam lecture to Masters of Business and Information Management (BIM) students for Big Data and Business Analytics...
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Data Science for Cyber Risk Management (PRMIA)
Cyber threat actors exploit increasingly interconnected networks to infiltrate infrastructure and compromise digital assets. While prolific networks and digitization drive interactivity, thereby...
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Cybersecurity Data Science: Adopting a Medical Paradigm
An Uncomfortable Status Quo This month, barely eight weeks from the WannaCry ransomware outbreak, yet another destructive worm attack has disabled systems and compromised data globally: PetrWrap (AKA...
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Cybersecurity Big Data Overload?
Overview: The Cyber Big Data Conundrum Organizations are challenged with the spiraling overhead associated with storing and processing ever inflating sets of cybersecurity data. Many admit they are...
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Resolving Confusions: AI, Machine Learning, and Deep Learning
SAS recently produced a helpful video to cut through the misunderstandings that have developed in the market concerning the distinctions between AI, machine learning, and deep learning (many marketers...
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Cybersecurity Data Science (CSDS): How Not to Drown in Your Cyber Data Lake!
Future Shock: Growing Vulnerabilities and Liabilities Cybersecurity data science (CSDS) brings hope to organizations challenged by evolving cyber threats. A rapidly developing field, CSDS utilizes...
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Dataversity: Cybersecurity Data Science – Minding the Growing Gap
See full article on Dataversity By Scott Mongeau on March 8, 2019 Following cybersecurity Data Science best practices can help beleaguered and resource-strapped security teams transform Big Data into...
View ArticleWait… is data science even a thing?
Among my greatly respected global colleagues and friends on LinkedIn, there seem to be persistent, circular debates concerning the nature and viability of the data science profession. Opinions seem to...
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What is Cybersecurity Data Science?
Cybersecurity Data Science (CSDS) is a rapidly emerging profession focused on applying data science to prevent, detect, and remediate expanding and evolving cybersecurity threats. CSDS is increasingly...
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Cybersecurity Data Science (CSDS) Corpus
OVERVIEW For those interested in the rapidly emerging field of cybersecurity data science (CSDS), below is a corpus of 33 book-length works. The list covers publications going back to 2001, although...
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Cybersecurity Data Science (Springer)
Cybersecurity Data Science: Best Practices in an Emerging Profession https://www.springer.com/gp/book/9783030748951 This book encompasses a systematic exploration of Cybersecurity Data Science...
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CSDS portfolio sark7
Cybersecurity Data Science (CSDS) PORTFOLIO SCOTT ALLEN MONGEAU DISSERTATION ACADEMIC CURRICULUM VITAE CONFERENCE PRESENTATIONS Real Time Cybersecurity Analytics:Cybersecurity...
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