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In this article we will explore how to create custom stored procedures using R which is basically an R function that can be called from a SQL Server stored procedure.

Most complete list of data dictionary and database documentation tools on the web. Probably.

Overview of cloud-init capabilities to configure a VM at provisioning time in Azure.

In this learning path, discover Azure Functions that create event-driven, compute-on-demand systems using server-side logic to build serverless architectures.

Learn how to connect Microsoft Excel to a database in Azure SQL Database or Azure SQL Managed Instance. Import data into Excel for reporting and data exploration.

The insurance industry is facing a fast-changing landscape. As the world deals with COVID-19, insurers are seeing changing customer and employee expectations. This is in addition to the “cost-conscious” customer, who changes from one insurer to another. Now more than ever, insurance leaders are seeking digital transformation and innovation while reducing costs of operations. HereRead more

As the world has changed over the past 18 months, we’ve seen three trends emerge. Hybrid work is here to stay, customer demands have fundamentally shifted, and there’s no simple roadmap for what’s ahead. At the same time, we’ve seen an explosion of data, generated by every business process, every connected device, and every individualRead more

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.

Full dataset from the Casualty Actuarial Society's (CAS) loss reserving database. From the CAS website: "Our goal is to prepare a clean and nice data set of loss triangles that could be used for claims reserving studies. The data includes major personal and commercial lines of business from U.S. property casualty insurers. The claims data comes from Schedule P - Analysis of Losses and Loss Expenses in the National Association of Insurance Commissioners (NAIC) database." This package pulls the by line .csv files from the CAS website and creates a tidy data set. Column names were changed from the original data to make them more user friendly.

Because of existing and upcoming regulations, insurers perform quite a bit of analysis over their assets and liabilities. Actuaries need time to review and correct results before reviewing the repo...

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

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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

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...