Search results for Penetration Testing
-
Why Learn Python? Here Are 8 Data-Driven Reasons
Through this blog, I will list out the major reasons why you should learn Python and the 8 major data-driven reasons for learning it.https://www.kdnuggets.com/2020/07/learn-python-8-data-driven-reasons.html
-
Skynet Is Real: The History and Future of Factories With No Workers
Let’s see whether robots will become "grave diggers" of the proletariat, what do we lack to get total automation, and what compromises exist.https://www.kdnuggets.com/2020/03/skynet-real-history-future-factories-no-workers.html
-
Deepfakes Security Risks
Deepfakes have instilled panic in experts since they first emerged in 2017. Microsoft and Facebook have recently announced a contest to identify deepfakes more efficiently.https://www.kdnuggets.com/2020/01/deepfakes-security-risks.html
-
Data Anonymization – History and Key Ideas
While effective anonymization technology remains elusive, understanding the history of this challenge can guide data science practitioners to address these important concerns through ethical and responsible use of sensitive information.https://www.kdnuggets.com/2019/10/data-anonymization-history-key-ideas.html
-
Applying Data Science to Cybersecurity Network Attacks & Events
Check out this detailed tutorial on applying data science to the cybersecurity domain, written by an individual with backgrounds in both fields.https://www.kdnuggets.com/2019/09/applying-data-science-cybersecurity-network-attacks-events.html
-
Machine Learning Security
We take a look at how malicious actors can break machine learning models and what some of the best practices are when it comes to stopping them.https://www.kdnuggets.com/2019/01/machine-learning-security.html
-
How To Structure a Data Science Project: A Step-by-Step Guide
Check out all the necessary steps to successfully structure your data science projects leveraging data science templates.https://www.kdnuggets.com/2022/05/structure-data-science-project-stepbystep-guide.html
-
Data Science Data Architecture
Data scientists are kind of a rare breed, who juggles between data science, business and IT. But, they do understand less IT than an IT person and understands less business than a business person. Which demands a specific workflow and data architecture.https://www.kdnuggets.com/2015/09/data-science-data-architecture.html