sagemaker Archives

Deploying a Serverless Inference Endpoint with Amazon SageMaker
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Deploying a Serverless Inference Endpoint with Amazon SageMaker

John Patrick Laurel2023-12-27T11:56:32+00:00

Introduction Welcome to our deep dive into the world of serverless machine learning (ML) inference using Amazon SageMaker. In this blog post, we will explore the innovative and efficient approach of deploying ML models without the need for managing servers, a method known as serverless inference. What is Serverless Inference? Serverless inference is a cloud computing execution model where the cloud provider dynamically manages the allocation of machine resources. The key advantage here is that it abstracts the underlying infrastructure, allowing developers and data scientists to focus solely on their application logic. This approach offers several benefits: Cost-Effectiveness: You pay [...]

Deploying a Serverless Inference Endpoint with Amazon SageMakerJohn Patrick Laurel2023-12-27T11:56:32+00:00

Amazon AI Fairness and Explainability with Amazon SageMaker Clarify
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Amazon AI Fairness and Explainability with Amazon SageMaker Clarify

John Patrick Laurel2023-12-02T01:24:03+00:00

Introduction In the rapidly evolving domain of machine learning, ensuring fairness and explainability in model predictions has become crucial. With Amazon SageMaker Clarify, these critical aspects are not just an afterthought but integral components of the model development and deployment process. This article delves into the world of SageMaker Clarify, offering a comprehensive guide to its capabilities and practical applications. We commence our journey with a high-level understanding of what SageMaker Clarify is and its importance in the day-to-day tasks of machine learning modeling. Our exploration is anchored in a hands-on example, utilizing a specially crafted dataset that simulates loan [...]

Amazon AI Fairness and Explainability with Amazon SageMaker ClarifyJohn Patrick Laurel2023-12-02T01:24:03+00:00

AWS re:Invent 2022 Announcements for AWS Machine Learning Engineers and Data Scientists
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AWS re:Invent 2022 Announcements for AWS Machine Learning Engineers and Data Scientists

Joshua Arvin Lat2023-04-27T03:58:46+00:00

Every year, professionals all around the world attend the most transformative tech event — AWS re:Invent. Here, a LOT of new AWS services and capabilities are announced and discussed. In this post, we will focus on the major announcements relevant to data scientists and ML engineers! A Gentle Introduction to Amazon SageMaker The major announcements discussed in this post focus on SageMaker, so we will spend a paragraph or two quickly talking about the service. Amazon SageMaker is the machine learning platform of AWS that helps solve a variety of requirements of data scientists, developers, and machine learning practitioners in [...]

AWS re:Invent 2022 Announcements for AWS Machine Learning Engineers and Data ScientistsJoshua Arvin Lat2023-04-27T03:58:46+00:00

Scalable Data Processing and Transformation using SageMaker Processing (Part 1 of 2)
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Scalable Data Processing and Transformation using SageMaker Processing (Part 1 of 2)

Joshua Arvin Lat2023-08-14T02:56:21+00:00

Amazon SageMaker is the machine learning platform of AWS which helps solve the different requirements of data scientists and machine learning practitioners. It has several features and capabilities that assist in the different stages of the machine learning process. Here is a simplified list of the capabilities of SageMaker mapped to some of the stages of the ML lifecycle. SageMaker Processing Data Preparation and Processing SageMaker Training Model Training SageMaker Automatic Hyperparameter Tuning Model Training SageMaker Debugger Model Training SageMaker Hosting Services Deployment and Monitoring SageMaker Model Monitor Deployment and Monitoring There’s definitely more into this list which we [...]

Scalable Data Processing and Transformation using SageMaker Processing (Part 1 of 2)Joshua Arvin Lat2023-08-14T02:56:21+00:00

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