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Deploy your ML model as a Web Service in Microsoft Azure Cloud

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. This article will provide you with a hands-on implementation on how to deploy an ML model in the Azure cloud. If you are new to Azure machine learning, I would recommend you to go through the Microsoft documentation that has been provided in the […].

Azure 313
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What is an LLM Bootcamp? What Does Data Science Dojo Offer for Your Success?

Data Science Dojo

We’ll explore the specifics of Data Science Dojo’s LLM Bootcamp and why enrolling in it could be your first step in mastering LLM technology. The goal is to equip learners with technical expertise through practical training to leverage LLMs in industries such as data science, marketing, and finance.

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Cookiecutter Data Science V2

DrivenData Labs

The original Cookiecutter Data Science (CCDS) was published over 8 years ago. The goal was, as the tagline states “a logical, reasonably standardized but flexible project structure for data science.” That said, in the past 5 years, a lot has changed in data science tooling and MLOps.

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Your Complete Roadmap to Become an Azure Data Scientist

Pickl AI

Summary: This blog provides a comprehensive roadmap for aspiring Azure Data Scientists, outlining the essential skills, certifications, and steps to build a successful career in Data Science using Microsoft Azure. What is Azure?

Azure 52
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DP 100 Updated – Microsoft Data Science Certification

Data Science 101

Microsoft has updated the Data Science Certification exam. It should now match the current focus and tools on Azure. Those blog posts were for the old exam which focused on the legacy Azure Machine Learning Studio interface and general data science knowledge. Azure Machine Learning Names.

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Cloud Data Science 6

Data Science 101

Azure Stream Analytics Anomaly Detection Azure Stream Analytics now has built-in anomaly detection capabilities. Better documentation is always a good thing. The post Cloud Data Science 6 appeared first on Data Science 101. See the new documenation portal.

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How to Integrate Both Python & R into Data Science Workflows

Pickl AI

Summary : Combining Python and R enriches Data Science workflows by leveraging Python’s Machine Learning and data handling capabilities alongside R’s statistical analysis and visualisation strengths. Python excels in Machine Learning, automation, and data processing, while R shines in statistical analysis and visualisation.