No Clocks

The financial services industry is a dynamic space that is constantly testing and pushing novel use cases of information technology. Many of its members must balance immense demands—from the pressures to unlock continuous innovation in a landscape with cloud-native entrants, to responding to u...

Integrate takes a holistic, forward-looking approach to the automation and governance of actuarial modeling and reporting. Powered by Microsoft Azure, Integrate reimagines the relationship between people, processes, and technology and unlocks the full potential of actuarial staff. It takes advantage of Azure for complex computational tasks, and leverages services such as Azure Data Factory and Azure HDInsight to automate extract, transform, and load (ETL) processes and crunch big data.

Loss Data Analytics is an interactive, online, freely available text. - The online version will contain many interactive objects (quizzes, computer demonstrations, interactive graphs, video, and the like) to promote deeper learning. - A subset of the book will be available in pdf format for low-cost printing. - The online text will be available in multiple languages to promote access to a worldwide audience.

Not sure what insurance terms on your policy means? Take a look at our Insurance Terms Glossary to help give you a better understanding of your policy.

This is a style guide to help authors write chapters for Loss Data Analytics

A language empowering everyone to build reliable and efficient software.

Rust library and CLI to export an Obsidian vault to regular Markdown - GitHub - zoni/obsidian-export: Rust library and CLI to export an Obsidian vault to regular Markdown

evaluator

The Reference Architecture for Agility is a technology-neutral logical architecture based on a disaggregated cloud-based model. - GitHub - wso2/reference-architecture: The Reference Architecture fo...

A complete daily plan for studying to become a machine learning engineer. - GitHub - ZuzooVn/machine-learning-for-software-engineers: A complete daily plan for studying to become a machine learning...

A list of awesome and proven Artificial Intelligence use cases and applications - GitHub - JosPolfliet/awesome-ai-usecases: A list of awesome and proven Artificial Intelligence use cases and applic...

machine learning and deep learning tutorials, articles and other resources - Machine-Learning-Tutorials/README.md at master · ujjwalkarn/Machine-Learning-Tutorials

A topic-centric list of HQ open datasets. Contribute to awesomedata/awesome-public-datasets development by creating an account on GitHub.

A curated list of awesome R packages, frameworks and software. - GitHub - qinwf/awesome-R: A curated list of awesome R packages, frameworks and software.

Template repository for data science lifecycle project - GitHub - dslp/dslp-repo-template: Template repository for data science lifecycle project

The Data Science Lifecycle Process is a process for taking data science teams from Idea to Value repeatedly and sustainably. The process is documented in this repo. - GitHub - dslp/dslp: The Data ...

:memo: An awesome Data Science repository to learn and apply for real world problems. - GitHub - academic/awesome-datascience: An awesome Data Science repository to learn and apply for real world p...

A collection of inspiring lists, manuals, cheatsheets, blogs, hacks, one-liners, cli/web tools and more. - GitHub - trimstray/the-book-of-secret-knowledge: A collection of inspiring lists, manuals,...

:mortar_board: Path to a free self-taught education in Computer Science! - GitHub - ossu/computer-science: Path to a free self-taught education in Computer Science!

GitHub is where people build software. More than 73 million people use GitHub to discover, fork, and contribute to over 200 million projects.

RESTful API

Web framework for R inspired by express.js

A methodology for building modern, scalable, maintainable software-as-a-service apps.

A dashboard for your obsidian vault. Contribute to Rainbell129/Obsidian-Homepage development by creating an account on GitHub.

In a hyperconverged infrastructure, all systems are integrated, aggregated, and software-defined. Here's when to use it and how to choose.

Big tech companies like Google and Netflix aren't the only ones doing it. Here's how non-web companies are taking advantage of continuous delivery.