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Azure service cloud summarized: Part I

Mlearning.ai

Learning about the framework of a service cloud platform is time consuming and frustrating because there is a lot of new information from many different computing fields (computer science/database, software engineering/developers, data science/scientific engineering & computing/research).

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TOP 20 AI CERTIFICATIONS TO ENROLL IN 2025

Towards AI

Professional certificate for computer science for AI by HARVARD UNIVERSITY Professional certificate for computer science for AI is a 5-month AI course that is inclusive of self-paced videos for participants; who are beginners or possess intermediate-level understanding of artificial intelligence.

professionals

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Disinformation Research with @lucas_a_meyer: TDI 21

Data Science 101

I mostly use U-SQL, a mix between C# and SQL that can distribute in very large clusters. Once the data is processed I do machine learning: clustering, topic finding, extraction, and classification. So you use a lot of the Azure tools in your job? I think of Computer Science as a tool. I use PyTorch for that.

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Top NLP Skills, Frameworks, Platforms, and Languages for 2023

ODSC - Open Data Science

Data Science Fundamentals Going beyond knowing machine learning as a core skill, knowing programming and computer science basics will show that you have a solid foundation in the field. Computer science, math, statistics, programming, and software development are all skills required in NLP projects.

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What Does a Data Engineer’s Career Path Look Like?

Smart Data Collective

Popular cloud platforms include the Microsoft Azure, Google Cloud Platform, and Amazon Web Services. More like data centers, cloud platforms perform several services, including cloud storage, computation, cluster management, and data processing. That said, data engineers should learn how cloud platforms work. and globally.

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A Guide to Choose the Best Data Science Bootcamp

Data Science Dojo

Machine Learning : Supervised and unsupervised learning algorithms, including regression, classification, clustering, and deep learning. Cloud Computing : Utilizing cloud services for data storage and processing, often covering platforms such as AWS, Azure, and Google Cloud.

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Data Science Career FAQs Answered: Educational Background

Mlearning.ai

Check out this course to build your skillset in Seaborn —  [link] Big Data Technologies Familiarity with big data technologies like Apache Hadoop, Apache Spark, or distributed computing frameworks is becoming increasingly important as the volume and complexity of data continue to grow. in these fields.