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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?

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40 Must-Know Data Science Skills and Frameworks for 2023

ODSC - Open Data Science

Just as a writer needs to know core skills like sentence structure, grammar, and so on, data scientists at all levels should know core data science skills like programming, computer science, algorithms, and so on. Research Why should a data scientist need to have research skills, even outside of academia you ask?

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Using Azure ML to Train a Serengeti Data Model, Fast Option Pricing with DL, and How To Connect a…

ODSC - Open Data Science

Using Azure ML to Train a Serengeti Data Model, Fast Option Pricing with DL, and How To Connect a GPU to a Container Using Azure ML to Train a Serengeti Data Model for Animal Identification In this article, we will cover how you can train a model using Notebooks in Azure Machine Learning Studio.

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Media Mix Modeling, ML Safety Concerns with LLMs, and Data Engineering Cloud Options

ODSC - Open Data Science

Video of the Week: Open-Source Data Curation and Governance for Large and Growing Data Lakes In this talk, we’ll take a deep dive into open-source data curation and governance for large and growing data lakes with Roger Dev, Senior Architect and machine learning expert at LexisNexis Risk Solutions.

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Big Data vs. Data Science: Demystifying the Buzzwords

Pickl AI

Exploring the Ocean If Big Data is the ocean, Data Science is the multifaceted discipline of extracting knowledge and insights from data, whether it’s big or small. It’s an interdisciplinary field that blends statistics, computer science, and domain expertise to understand phenomena through data analysis.

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Enabling production-grade generative AI: New capabilities lower costs, streamline production, and boost security

AWS Machine Learning Blog

Prior to his current role, Baskar spent nearly six years at Google, where he contributed to advancements in cloud computing infrastructure. in Computer Science from Purdue University and has since spent over two decades at the forefront of the tech industry. Baskar earned a Ph.D.

AWS 102
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MLOps and DevOps: Why Data Makes It Different

O'Reilly Media

ML use cases rarely dictate the master data management solution, so the ML stack needs to integrate with existing data warehouses. They are often built by data scientists who are not software engineers or computer science majors by training. Software Architecture.

ML 145