The “Special Dividend Loan” is another way private equity can suck cash out of other institutions while they continue to strip mine a company. I think the rules might work a little differently for them.
Integrating Docker into a CI/CD Pipeline
A typical Dockerized CI/CD pipeline, often orchestrated by tools like Jenkins, GitLab CI/CD, GitHub Actions, or Azure DevOps, follows these stages: Code Commit and Trigger: The process begins when a developer commits code to a version control system (VCS) like Git. This commit, particularly to a designated branch triggers the CI/CD pipeline automatically via a web Read More …
Dark Future
1bluebass · Native Instruments Series
Docker for IT Professionals
Docker containers has moved beyond a buzzword to become a cornerstone of modern infrastructure and software deployment. At its core, Docker addresses long-standing challenges in application portability, dependency management, and environmental consistency, offering a totally new way to approach to how we build, ship, and run software. Historically, the phrase “it works on my machine” Read More …
The Musings of a Keyboard Commander
The problem with Trumpian mercantilism First go read this: Condition-of-England question. You do not need to read this: Carlyle.
Conference Video – A deep look into a Chinese advanced attack
These are the videos from Derbycon 2015:
Decision Trees in Artificial Intelligence
Decision trees are a popular and intuitive method used in artificial intelligence (AI) for classification and regression tasks. They represent a model in the form of a tree-like structure, where each internal node corresponds to a decision based on an input feature, each branch represents the outcome of that decision, and each leaf node signifies Read More …
SVM – Support Vector Machines
Support Vector Machines (SVMs) are a powerful supervised learning algorithm used in artificial intelligence (AI) for classification and regression tasks. Developed in the 1990s by Vladimir Vapnik and his colleagues, SVMs are particularly effective in high-dimensional spaces and are known for their robustness in handling both linear and non-linear data. How SVMs Work The primary Read More …