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Amazon SageMaker Data Wrangler

2024-10-03T13:28:49+00:00

Amazon SageMaker Data Wrangler Cheat Sheet Amazon SageMaker Data Wrangler streamlines data preparation and feature engineering for machine learning.  Amazon SageMaker Data Wrangler is a feature in Amazon SageMaker Studio Classic. It integrates data from various sources, allows you to explore, clean, transform, and visualize data, and automates these steps in your machine-learning workflow. Amazon SageMaker Data Wrangler Core Functionalities Data Wrangler provides core functionalities to facilitate data analysis and preparation in machine learning. Import Easily access and import data stored in cloud-based data warehouses and data lakes, such as Amazon S3, Athena, Redshift, Snowflake, and Databricks. The dataset you import [...]

Amazon SageMaker Data Wrangler2024-10-03T13:28:49+00:00

Amazon SageMaker Feature Store

2024-09-20T07:08:44+00:00

Amazon SageMaker Feature Store Cheat Sheet Amazon SageMaker Feature Store is a centralized repository for managing machine learning features. It simplifies the process of data exploration, model training, and batch predictions by providing a unified view of your features. Enhances ML model development and deployment efficiency. How does it work? SageMaker Feature Store stores features in feature groups. A feature group is a collection of related features that can be used for a specific task. Feature groups can be created from various data sources, such as Amazon S3, Amazon RDS, and Amazon DynamoDB. There are three modes that a feature [...]

Amazon SageMaker Feature Store2024-09-20T07:08:44+00:00

Migration Evaluator Cheat Sheet

2024-09-13T07:55:06+00:00

Migration Evaluator Cheat Sheet Migration Evaluator is a service that helps organizations assess their on-premises infrastructure and plan a migration to AWS. It provides insights into the costs of running current workloads on AWS and recommends optimized AWS resources based on usage patterns. Migration Evaluator Use Cases Use the Agentless Collector for broad discovery of your infrastructure or securely upload existing inventory data for analysis and insights. Capture a snapshot of your current on-premises environment to optimize software licensing, map server dependencies, and explore various migration strategies. Assess your current state, define a target AWS state, and create a migration [...]

Migration Evaluator Cheat Sheet2024-09-13T07:55:06+00:00

Basic Authentication with AWS Rekognition

2024-07-16T00:54:51+00:00

In this day of technology, it feels like every application has an AI/ML feature built into it, be it home appliances or accessories, chatbots in websites, or even watches. Not having a feature that uses AI or ML in your application feels like you're getting left behind, and it's very beneficial for users. But building an ML/AI feature from the ground up is no easy task, and it takes time and effort to add a feature like that it requires computing power to train a model and a good amount of data to have a great output after all garbage [...]

Basic Authentication with AWS Rekognition2024-07-16T00:54:51+00:00

Generative AI and Reinventing with Amazon Q

2023-12-07T03:09:18+00:00

The Journey to Amazon Q AWS re:Invent 2023 recently concluded, and there has been some exciting news around data, infrastructure, artificial intelligence, and machine learning. One of the big announcements was Amazon Q, currently under Preview release. Amazon Q is a generative artificial intelligence (AI) powered conversational assistant. Announced during the keynote by AWS CEO Adam Selipsky, he spoke about various things that AWS is doing to support its customers. The value of constant reinventing – global enterprises, over 80% of unicorns (companies with a Billion-dollar valuation), community colleges, government agencies, non-profits, and various others use AWS heavily in running [...]

Generative AI and Reinventing with Amazon Q2023-12-07T03:09:18+00:00

Deploying a Trained CTGAN Model on an EC2 Instance: A Step-by-Step Guide

2023-11-30T06:39:56+00:00

Welcome to the first entry in our series on deploying machine learning models in AWS. As cloud computing and machine learning continue to evolve and intersect, understanding the dynamics of deployment becomes invaluable. Whether you're an enthusiast, a budding data scientist, or a seasoned professional, the insights offered by this series are tailored to empower you to make the most of AWS's vast ecosystem. One recurrent pitfall in the journey of many machine learning beginners is the confinement of their models within the boundaries of a Jupyter notebook. Picture this: after hours or even days of data wrangling, feature engineering, [...]

Deploying a Trained CTGAN Model on an EC2 Instance: A Step-by-Step Guide2023-11-30T06:39:56+00:00

AWS vs Azure Services Comparison

2023-07-25T09:36:02+00:00

Bookmarks Compute Other Compute Services Comparison Storage Other Storage Services Comparison Database Other Database Services Comparison Networking Other Networking Services Comparison Security and Identity Other Security and Identity Services Comparison AWS vs Azure Services Comparison Cheat Sheet To help you learn the different Microsoft Azure services, we’ve come up with this AWS vs Azure services comparison. If you already have some background in AWS (or cloud computing in general) either through work experience or AWS certifications then you won’t have a hard time learning Microsoft Azure. The [...]

AWS vs Azure Services Comparison2023-07-25T09:36:02+00:00

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