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Data and Machine Learning on AWS
Unleash the power of your data with Data Engineering, DataOps, and ML
Data and Machine Learning
Whether you're a beginner looking to understand the basics or an experienced professional seeking advanced knowledge, this collection of Data and Machine Learning resources provides the tools needed to master the intricacies of Data Engineering, DataOps, and ML.
Data Lake vs Data Warehouse vs Databases: Which Meets Your Storage Needs?
Databases, Data warehouses, and Data Lakes all have different purposes and use-cases, but understanding those differences isn't always easy. Here's a quick guide to help you navigate the sometimes-confusing world of cloud storage.
Introduction to Artificial Intelligence and Machine Learning
A step-by-step guide to setting up a free ML environment, leveraging language models and ChatGPT APIs to extract insights from YouTube videos, and empowering yourself to learn faster and more efficiently like never before!
A Three-Minute Summary of What to Consider When Choosing Databases
With different options of databases available at AWS, it is often a hard task to confidently choose one for your projects. If you read the previous sentence and sub-consciously nodded "yes" with your head, you are in the right place.
Ingesting Data into Amazon OpenSearch using Apache Kafka and Go
There are times you might need to write a custom integration layer to fulfill specific requirements in your data pipeline. Learn how to do this with Kafka and OpenSearch using Go.
How To Build Stock Price Prediction Without Writing a Single Line of Code
How To Build Stock Price Prediction Without Writing a Single Line of Code. In this post you will learn how to use Amazon SageMaker Canvas to generate predictions without writing code.
Build Your Own Knowledge Base with Multilingual Q&A Powered by Generative AI
Use Amazon Kendra, Amazon Translate, Amazon Comprehend and Amazon SageMaker JumpStart to build a multilingual knowledge base that can summarize search results.
Build Your Own Recommendation Engine for a Streaming Platform Clone on AWS: A Full Stack Series
A full stack hands-on tutorial leveraging custom machine learning models, SageMaker, Lambda, API Gateway and a handful of other tools to find the perfect movie to stream this weekend!
Creating an Image Gallery App with React, AWS Amplify, & Amazon CodeWhisperer
Discover the power of CodeWhisperer, your AI coding companion, as we guide you through the process of creating a dynamic Image Gallery app using React and AWS Amplify. Join us in this comprehensive tutorial to master the art of app development with cutting-edge AI assistance.
How to get the most out of Amazon CodeWhisperer
Learn how to maxmize productivity using Amazon CodeWhisperer, AWS' AI coding companion. From crafting concise developer comments to using intuitive names for code elements, Brooke shares expert advice to help you navigate and leverage the power of CodeWhisperer
Explore a Dataset through Data Prep & Exploration (Part 1)
Discover essential steps to tackle the challenge of integrating our recommendation engine models with our full-stack streaming platform by focusing on data preparation and exploration.
Train & Build a Custom Scaling & Kmeans Clustering Model with Amazon SageMaker (Part 2)
In Session 2 of our full-stack series, "Build Your Own Streaming Platform with a Recommendation Engine on AWS", we address the realization that building machine learning models in isolation isn't enough. We train and build a custom scaling model thereby ensuring accurate comparisons of our wrangled movie data features.
Build a Robust API Using the Open Source Chalice Framework (Part 3)
Take the final step in our full-stack series, "Build Your Own Streaming Platform with a Recommendation Engine on AWS," and transform your models into practical applications. In Session 3, we dive into the world of building APIs, unlocking the potential to provide personalized movie recommendations to your users.
AWS Databases: Use Cases and Optimizations
It's not quite news that AWS offers different databases. While this is a good thing because it provides options for different use cases, sometimes it's hard to choose because your decision requires a deep thought about how each case matches their optimizations.
Predicting Stock Prices Using AI & NO CODE!
Get started building with Artificial Intelligence & Machine Learning without writing a single line of code! Dive into this exciting video series where we explore the possibility of predicting stock market prices with no code!
Blogs and Concept articles
Scaling your application: Data patterns to enable reliability and flexibility
Most applications work with data. In this post, you will learn about the CQRS and Event Sourcing patterns. Two important patterns that is transforming the way we architect and manage data in modern software systems.
My Event is More Urgent than Yours: Prioritizing Event Processing with Apache Kafka
Apache Kafka doesn't support event processing prioritization. But you don't have to settle for this. Let's see how to solve this problem using the bucket priority pattern.
Streamlining Database Migration: The Secrets to Effortlessly Moving Your Data Across Platforms
Data migration is an essential process for businesses to keep their systems up to date, but it can be a complex and challenging process. Here's how to do it more easily.
Using Amazon SageMaker to Optimize Compilation and Training for Open Source GPT-2 Models
Description: Optimizing the compilation and training of the open source GPT-2 model on the Stanford Sentiment Treebank v2 (SST2) dataset, using the features of the Amazon SageMaker Training Compiler.
All the things that Comprehend, Rekognition, Textract, Polly, Transcribe and others do
In this article, we will introduce you to the world of ML APIs, exploring their significance and impact on various industries. We'll delve into specific ML API services and present compelling use cases that showcase their versatility and potential.
Building an ML-powered serverless consumer website
The Code Examples team tells the story of how they created a serverless application that detects labels for images and lets the user download those images by label.
Discover and join online and local AWS communities, connect with others, and share and discuss cloud computing news and content. Find your community and share your experiences at the cloud community created for developers by developers.