Data Science Advance | 15. Cloud Computing in Data Science (AWS,Azure, GCP) by Abraham | Learn Smarter
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15. Cloud Computing in Data Science (AWS,Azure, GCP)

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Sections

  • 15

    Cloud Computing In Data Science (Aws, Azure, Gcp)

    This section discusses the impact of cloud computing on data science, focusing on major platforms like AWS, Azure, and GCP.

    Learning Practice

  • 15.1

    Benefits Of Cloud Computing For Data Science

    Cloud computing offers significant advantages for data science including scalability, cost efficiency, speed, collaboration, integrated toolsets, and enhanced security.

    Learning Practice

  • 15.2

    Aws For Data Science

    This section covers Amazon Web Services (AWS) and its relevant tools for data science.

    Learning Practice

  • 15.3

    Azure For Data Science

    This section highlights Microsoft Azure's capabilities and tools tailored for data science applications.

    Learning Practice

  • 15.4

    Gcp For Data Science

    This section focuses on Google Cloud Platform (GCP) and its tools for enhancing data science, emphasizing its strengths in analytics and machine learning.

    Learning Practice

  • 15.5

    Aws Vs Azure Vs Gcp – A Comparison

    This section provides a comparative analysis of the three leading cloud service providers—AWS, Azure, and GCP—in terms of their key features, tools, and ideal use cases.

    Learning Practice

  • 15.6

    Practical Use Cases

    This section discusses three practical use cases of cloud computing platforms in data science.

    Learning Practice

  • 15.7

    Cloud-Based Mlops

    This section discusses Cloud-Based MLOps, focusing on deploying and managing machine learning models efficiently using cloud technologies.

    Learning Practice

  • 15.8

    Hands-On Exercise Ideas

    This section outlines various hands-on exercises for implementing data science tasks on cloud platforms.

    Learning Practice

  • 15.9

    Summary

    The summary section emphasizes the revolutionary impact of cloud computing on data science, highlighting its key platforms and capabilities.

    Learning Practice

References

ADS ch15.pdf

Class Notes

Memorization

Revision Tests