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How ML System Design helps us to make better ML products

Xebia

With the industry moving towards end-to-end ML teams to enable them to implement MLOPs practices, it is paramount to look past the model and view the entire system around your machine learning model. We can predict item demand as a regression problem, which will help determine when to make new purchases.

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Data Mining: use cases & benefits

Apiumhub

Over the last decade, advances in processing power and speed have enabled us to move beyond manual, tedious and time-consuming practices to quick, easy and automated data analysis. In this article you will find key data mining use cases as well as how data mining has opened a world of possibilities for business. What is Data Mining.

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Mastering the Oracle HCM Post-Go-Live Process: A Guide to Success

Apps Associates

With over 400 Oracle cloud application implementations, Apps Associates has seen what makes an implementation go well and the strategies and considerations specific to HCM that can be executed before and after a system go-live.

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ML.NET: A Robust Framework for Implementing Machine Learning in.NET Environments

Exadel

Python has a great ML ecosystem to implement end-to-end ML workflows. ML.NET is an all-in-one framework that provides a wide range of features, including: classical ML algorithms such as classification, regression, matrix factorization, ranking, feature preprocessing, and selection (just as sklearn does). That is where ML.NET can help.

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What are Some Best Practices for React?

Openxcell

However, as applications built with React grow in complexity, it becomes increasingly important to follow best practices to maintain the codebase and ensure the application is scalable and efficient. Best practices help developers write code that is easy to read, test, and modify.

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Observability: The 5-Year Retrospective

Honeycomb

O’Reilly said it best this year when they summarized learning trends in 2021 : Observability saw the greatest growth in the past year (128%), while monitoring is only up 9%. Two years ago, I wrote a long retrospective of observability for its third anniversary. Which is cool, in a way, but I worry about the devops’ification of the term.

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Upgrading Sitecore Platforms – Upgrade Tactics

Perficient

We already have this approach implemented for codebase – git, with its ability to switch between the branches. PowerShell is already built into the OS, and is the best and most natural fit for such activities. Small mistakes are inevitable and we actually need some sort of Undo button for the whole process. Leverage PowerShell.

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