Amazon S3 Bucket Archives

Building a Simple Video Hosting Service using Amazon CloudFront, Amazon S3, and AWS Amplify
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Building a Simple Video Hosting Service using Amazon CloudFront, Amazon S3, and AWS Amplify

Lesmon Andres Lenin Saluta2024-02-01T11:00:28+00:00

Application Use Case The primary purpose of this application is to share a video as a link and have it accessed by viewers with low latency. This feature is great for those who make quick videos, for example, a short demonstration on how to use an application or a group of academics sharing their explanations to mentor their peers. Overview of the Tech Stack Different video hosting websites cater to various features that are subjective to users. Some users prefer highly secure video hosting websites for private content, integrating one (or more) authentication layers to upload [...]

Building a Simple Video Hosting Service using Amazon CloudFront, Amazon S3, and AWS AmplifyLesmon Andres Lenin Saluta2024-02-01T11:00:28+00:00

Training an Image Classification Model with TensorFlow in Amazon SageMaker
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Training an Image Classification Model with TensorFlow in Amazon SageMaker

John Patrick Laurel2024-01-15T12:39:38+00:00

Introduction In today's digital age, where data is as vital as currency, the power of Machine Learning (ML) in transforming industries is undeniable. From self-driving cars to personalized medicine, ML models are at the heart of many technological breakthroughs. Among the various tools and frameworks available for ML, TensorFlow has emerged as a leader, renowned for its versatility and scalability. This article aims to demystify the process of training an Image Classification model using TensorFlow, specifically within the Amazon SageMaker environment. For beginners and intermediate enthusiasts alike, navigating through TensorFlow's complexities and harnessing the power of SageMaker can seem daunting. [...]

Training an Image Classification Model with TensorFlow in Amazon SageMakerJohn Patrick Laurel2024-01-15T12:39:38+00:00

Train and Deploy a Scikit-Learn Model in Amazon SageMaker
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Train and Deploy a Scikit-Learn Model in Amazon SageMaker

John Patrick Laurel2024-01-05T10:10:06+00:00

Introduction In the ever-evolving world of machine learning (ML), the ability to efficiently train and deploy models is crucial for turning innovative ideas into real-world applications. This is where Amazon SageMaker, a fully managed service that provides every developer and data scientist with the ability to build, train, and deploy machine learning models quickly, stands out. Amazon SageMaker streamlines the machine learning workflow, offering a broad set of capabilities that are designed to enable users to focus more on the problem at hand and less on the underlying infrastructure. While SageMaker comes equipped with built-in algorithms and support for various [...]

Train and Deploy a Scikit-Learn Model in Amazon SageMakerJohn Patrick Laurel2024-01-05T10:10:06+00:00

Setting up a Static Website on Amazon S3
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Setting up a Static Website on Amazon S3

Nestor Mayagma Jr.2023-11-16T02:07:44+00:00

What is Amazon S3? Amazon S3, a scalable and secure object storage service, offers an efficient and cost-effective way to host static websites. In this article, I will guide you through a step-by-step process of setting up a static website on Amazon S3. Whether you're an experienced developer or a beginner just starting out, this guide will equip you with the knowledge and tools you need to launch your website successfully. So, let's dive right in and start building! Sign in to the AWS Management Console and open the Amazon S3 console. In the Buckets list, choose the name of [...]

Setting up a Static Website on Amazon S3Nestor Mayagma Jr.2023-11-16T02:07:44+00:00

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