AWS Machine Learning Blog

MARCH 13, 2024

Advancements in artificial intelligence (AI) and machine learning (ML) are revolutionizing the financial industry for use cases such as fraud detection, credit worthiness assessment, and trading strategy optimization. Don’t change or edit any Block Public Access settings for this access point (all public access should be blocked).

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Mlearning.ai

JUNE 14, 2023

Learning LLMs (Foundational Models) Base Knowledge / Concepts: What is AI, ML and NLP Introduction to ML and AI — MFML Part 1 — YouTube What is NLP (Natural Language Processing)? — YouTube YouTube Introduction to Natural Language Processing (NLP) NLP 2012 Dan Jurafsky and Chris Manning (1.1) Happy learning.

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Iguazio

AUGUST 3, 2023

While this data is not fresh, it is from 2010-2012, we added it to the list because of the holiday sales data that can be used and could still be relevant. Whether you’re a retailer giant, a small mom-and-pop shop or anywhere in the middle, ML can help you stand out competitively while overcoming the challenges of economic uncertainty.

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DataRobot

NOVEMBER 12, 2021

As ML technologists, we must ensure that technology is built in a way that supports a diverse and equitable implementation rather than reinforcing historical mistakes or amplifying bias. AI Implementers: The IT organization that must inherit a model, whether ML Engineers, or more generally ML Ops personnel.

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AWS Machine Learning Blog

APRIL 5, 2023

Amazon Rekognition makes it easy to add this capability to your applications without any machine learning (ML) expertise and comes with various APIs to fulfil use cases such as object detection, content moderation, face detection and analysis, and text and celebrity recognition, which we use in this example.

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AWS Machine Learning Blog

JUNE 15, 2023

With a background in AI/ML, data science, and analytics, Yunfei helps customers adopt AWS services to deliver business results. He designs AI/ML and data analytics solutions that overcome complex technical challenges and drive strategic objectives. About the authors Yunfei Bai is a Senior Solutions Architect at AWS.

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AWS Machine Learning Blog

APRIL 23, 2024

We are excited to announce two new capabilities in Amazon SageMaker Studio that will accelerate iterative development for machine learning (ML) practitioners: Local Mode and Docker support. ML model development often involves slow iteration cycles as developers switch between coding, training, and deployment.

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ODSC - Open Data Science

JUNE 8, 2023

To deliver on their commitment to enhancing human ingenuity, SAS’s ML toolkit focuses on automation and more to provide smarter decision-making. Narrowing the communications gap between humans and machines is one of SAS’s leading projects in their work with NLP.

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AWS Machine Learning Blog

MAY 10, 2023

Jupyter notebooks are highly favored by data scientists for their ability to interactively process data, build ML models, and test these models by making inferences on data. Durga Sury is an ML Solutions Architect on the Amazon SageMaker Service SA team. She is passionate about making machine learning accessible to everyone.

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AWS Machine Learning Blog

SEPTEMBER 19, 2023

Create a role named sm-build-role with the following trust policy, and add the policy sm-build-policy that you created earlier: { "Version": "2012-10-17", "Statement": [ { "Effect": "Allow", "Principal": { "Service": "codebuild.amazonaws.com" }, "Action": "sts:AssumeRole" } ] } Now, let’s review the steps in CloudShell.

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The MLOps Blog

JANUARY 11, 2023

Figure 1: The high-level overview of the MLOps environment architectural design built with AWS services listed in the left side | Source: Author I went through several rounds of interviews and discussions with different teams to hear what they expect to achieve, mainly the ML team, and shared with them the expectations of other teams as well.

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AWS Machine Learning Blog

APRIL 22, 2024

Typically, HyperPod clusters are used by multiple users: machine learning (ML) researchers, software engineers, data scientists, and cluster administrators. With SageMaker HyperPod, you can train FMs for weeks and months without disruption. They edit their own files, run their own jobs, and want to avoid impacting each other’s work.

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Flipboard

AUGUST 17, 2023

Many practitioners are extending these Redshift datasets at scale for machine learning (ML) using Amazon SageMaker , a fully managed ML service, with requirements to develop features offline in a code way or low-code/no-code way, store featured data from Amazon Redshift, and make this happen at scale in a production environment.

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ODSC - Open Data Science

MAY 1, 2023

Jay Jackson VP AI & ML, Oracle | Expert in Neurotechnology and the Future of BCIs Jay is a VP of the Artificial Intelligence and Machine Learning organization at Oracle Cloud. In 2012, Daphne was recognized as one of TIME Magazine’s 100 most influential people. Audrey Reznik Guidera Sr.

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Towards AI

JULY 21, 2023

But who knows… 3301’s Cicada project started with a random 4chan post in 2012 leading many thrill seekers, with a cult-like following, on a puzzle hunt that encompassed everything from steganography to cryptography. It uses the 2 model architecture: sparse search via Elasticsearch and then a ranker ML model.

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Mlearning.ai

APRIL 8, 2023

In this article, we’ll look at the evolution of these state-of-the-art (SOTA) models and algorithms, the ML techniques behind them, the people who envisioned them, and the papers that introduced them. Evolution of SOTA models in NLP and factors affecting them Here is the evolutionary map for this article.

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AWS Machine Learning Blog

APRIL 4, 2023

Amazon Kendra is an intelligent search service powered by machine learning (ML). 13, 2012-03-25T12:30:10+01:00 How many free clinics are there in Mountain View Missouri?, 7, 2012-03-25T12:30:10+01:00 Deploy the solution The CloudFormation templates that create the resources used by this solution can found in the GitHub repository.

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AWS Machine Learning Blog

MAY 5, 2023

In this post, we discuss a machine learning (ML) solution for complex image searches using Amazon Kendra and Amazon Rekognition. Amazon Kendra is an intelligent search service powered by ML, and Amazon Rekognition is an ML service that can identify objects, people, text, scenes, and activities from images or videos.

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AWS Machine Learning Blog

MARCH 30, 2023

Amazon Personalize is a fully managed machine learning (ML) service that makes it easy for developers to deliver personalized experiences to their users. You can get started without any prior ML experience, using APIs to easily build sophisticated personalization capabilities in a few clicks. mkdir $data_dir !cd

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AWS Machine Learning Blog

DECEMBER 29, 2022

revolution has shown the value and importance of machine learning (ML) across verticals and environments, with more impact on manufacturing than possibly any other application. These are the real-time datasets that will be used for inferencing with the ML model. The last decade of the Industry 4.0 Choose Add.

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Pickl AI

APRIL 27, 2023

AI and machine learning (ML) technologies enable businesses to analyze unstructured data. AI and ML technologies work cohesively with data analytics and business intelligence (BI) tools. Since 2012, there has been a 650% rise in the demand for skilled and qualified data professionals. There is much to explore and unfold.

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Heartbeat

OCTOBER 9, 2023

Barceló and Maurizio Forte edited "Virtual Reality in Archaeology" (2012). Editorially independent, Heartbeat is sponsored and published by Comet, an MLOps platform that enables data scientists & ML teams to track, compare, explain, & optimize their experiments. Brutto, M. L., & Meli, P.

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Pickl AI

APRIL 28, 2023

With more than 650% growth since 2012, Data Science has emerged as one of the most sought-after technologies. With the new developments in this domain, Data Science presents a picture of futuristic technology. At the same time, it has also emerged as one of the highest-paying job profiles.

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Heartbeat

AUGUST 21, 2023

AlexNet is a more profound and complex CNN architecture developed by Alex Krizhevsky, Ilya Sutskever, and Geoffrey Hinton in 2012. Editorially independent, Heartbeat is sponsored and published by Comet, an MLOps platform that enables data scientists & ML teams to track, compare, explain, & optimize their experiments.

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Heartbeat

DECEMBER 14, 2023

Editorially independent, Heartbeat is sponsored and published by Comet, an MLOps platform that enables data scientists & ML teams to track, compare, explain, & optimize their experiments. Hinton is viewed as a leading figure in the deep learning community. Hinton is viewed as a leading figure in the deep learning community.

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AWS Machine Learning Blog

JUNE 6, 2023

PyTorch is a machine learning (ML) framework that is widely used by AWS customers for a variety of applications, such as computer vision, natural language processing, content creation, and more. Instead, you can focus on the higher value-added effort of training jobs at scale in a shorter amount of time and iterating on your ML models faster.

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AWS Machine Learning Blog

MAY 10, 2023

Quick iteration and faster time-to-value can be achieved by providing these analysts with a visual business intelligence (BI) tool for simple analysis, supported by technologies like machine learning (ML). Through this capability, ML becomes more accessible to business teams so they can accelerate data-driven decision-making.

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AWS Machine Learning Blog

AUGUST 22, 2023

Machine learning (ML) is revolutionizing solutions across industries and driving new forms of insights and intelligence from data. Many ML algorithms train over large datasets, generalizing patterns it finds in the data and inferring results from those patterns as new unseen records are processed. What is federated learning?

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Tableau

FEBRUARY 24, 2021

as early as 2012 already identified this trend, which has only accelerated over time. As data science work grew in complexity, data scientists became less generalized and more specialized, often engaged in specific aspects of data science work. Interviews conducted by Harris et al.

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Heartbeat

DECEMBER 8, 2023

Editorially independent, Heartbeat is sponsored and published by Comet, an MLOps platform that enables data scientists & ML teams to track, compare, explain, & optimize their experiments. Hinton is viewed as a leading figure in the deep learning community. We pay our contributors, and we don’t sell ads.

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AWS Machine Learning Blog

MARCH 15, 2023

Tens of thousands of AWS customers use AWS machine learning (ML) services to accelerate their ML development with fully managed infrastructure and tools. The SageMaker Processing job operates with the /opt/ml local path, and you can specify your ProcessingInputs and their local path in the configuration. Create an S3 bucket.

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AWS Machine Learning Blog

MARCH 12, 2024

Liv d’Aliberti is a researcher within the Leidos AI/ML Accelerator under the Office of Technology. app and run it inside the Cloud9 environment. About the Authors Justin Miles is a cloud engineer within the Leidos Digital Modernization Sector under the Office of Technology. In his spare time, he enjoys golfing and traveling.

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Mlearning.ai

JUNE 18, 2023

References [link] [link] [link] [link] BECOME a WRITER at MLearning.ai // FREE ML Tools // AI Film Critics Mlearning.ai Finally, we showed how to perform the transfer learning process and what the eventual predictions look like. The Jupyter notebook for the code above is available on GitHub.

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AWS Machine Learning Blog

JULY 17, 2023

With cloud computing, as compute power and data became more available, machine learning (ML) is now making an impact across every industry and is a core part of every business and industry. Amazon SageMaker Studio is the first fully integrated ML development environment (IDE) with a web-based visual interface.

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O'Reilly Media

APRIL 23, 2024

By the end of 2012, it was up to 82%. Google and Amazon were still atop their respective hills of web search and ecommerce in 2010, and Meta’s growth was still accelerating, but it was hard to miss that internet growth had begun to slow. The market was maturing.

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Snorkel AI

APRIL 25, 2023

With that said, I’m actually a faculty member at Harvard, and one of my key goals is to help—both academically as well as from an industry perspective—work with MLCommons , which is a nonprofit organization focusing on accelerating benchmarks, datasets, and best practices for ML (machine learning). Learn more, live!

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Snorkel AI

APRIL 25, 2023

With that said, I’m actually a faculty member at Harvard, and one of my key goals is to help—both academically as well as from an industry perspective—work with MLCommons , which is a nonprofit organization focusing on accelerating benchmarks, datasets, and best practices for ML (machine learning). Learn more, live!

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