AWS Machine Learning Blog

NOVEMBER 9, 2023

Building out a machine learning operations (MLOps) platform in the rapidly evolving landscape of artificial intelligence (AI) and machine learning (ML) for organizations is essential for seamlessly bridging the gap between data science experimentation and deployment while meeting the requirements around model performance, security, and compliance.

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AWS Machine Learning Blog

OCTOBER 17, 2024

Amazon SageMaker Studio is the latest web-based experience for running end-to-end machine learning (ML) workflows. This means that each user within the domain will have their own private space on the EFS file system, allowing them to store and access their own data and files. The following diagram illustrates this architecture.

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AWS Machine Learning Blog

AUGUST 4, 2023

If you are a returning user to SageMaker Studio, in order to ensure Salesforce Data Cloud is enabled, upgrade to the latest Jupyter and SageMaker Data Wrangler kernels. This completes the setup to enable data access from Salesforce Data Cloud to SageMaker Studio to build AI and machine learning (ML) models.

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Flipboard

MARCH 7, 2023

Amazon SageMaker Studio is a web-based, integrated development environment (IDE) for machine learning (ML) that lets you build, train, debug, deploy, and monitor your ML models. Studio provides all the tools you need to take your models from data preparation to experimentation to production while boosting your productivity.

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AWS Machine Learning Blog

MAY 8, 2023

With Amazon SageMaker , you can manage the whole end-to-end machine learning (ML) lifecycle. It offers many native capabilities to help manage ML workflows aspects, such as experiment tracking, and model governance via the model registry. mlflow/runs/search/", "arn:aws:execute-api: : : / /POST/api/2.0/mlflow/experiments/search",

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AWS Machine Learning Blog

DECEMBER 14, 2023

Amazon SageMaker Studio offers a broad set of fully managed integrated development environments (IDEs) for machine learning (ML) development, including JupyterLab, Code Editor based on Code-OSS (Visual Studio Code Open Source), and RStudio. It’s attached to a ML compute instance whenever a Space is run.

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Applied Data Science

MARCH 11, 2022

. ⁍ Data generation as a game — Generative Adversarial Networks The internet has always been a wild place but recent successes of AI are making it wilder: you can now find humans that don’t exist , anime that do not exist and cats that don’t exist. Back in 2012 things were quite different. This cat does not exist.

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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. in Computer Science.

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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. Yunfei has a PhD in Electronic and Electrical Engineering.

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The MLOps Blog

NOVEMBER 30, 2022

These days enterprises are sitting on a pool of data and increasingly employing machine learning and deep learning algorithms to forecast sales, predict customer churn and fraud detection, etc., Data science practitioners experiment with algorithms, data, and hyperparameters to develop a model that generates business insights.

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ODSC - Open Data Science

JUNE 8, 2023

These organizations are shaping the future of the AI and data science industries with their innovative products and services. To deliver on their commitment to enhancing human ingenuity, SAS’s ML toolkit focuses on automation and more to provide smarter decision-making. Check them out below.

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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. At DataRobot, for some of our most sensitive data science efforts, the project starts with an impact assessment to identify stakeholders.

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ODSC - Open Data Science

MAY 1, 2023

Pedro Domingos, PhD Professor Emeritus, University Of Washington | Co-founder of the International Machine Learning Society Pedro Domingos is a winner of the SIGKDD Innovation Award and the IJCAI John McCarthy Award, two of the highest honors in data science and AI.

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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. However, there are scenarios in which data scientists may prefer to transition from interactive development on notebooks to batch jobs.

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AWS Machine Learning Blog

MAY 17, 2023

Facies classification using AI and machine learning (ML) has become an increasingly popular area of investigation for many oil majors. Many data scientists and business analysts at large oil companies don’t have the necessary skillset to run advanced ML experiments on important tasks such as facies classification.

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O'Reilly Media

SEPTEMBER 19, 2023

Stage 2: Machine learning models Hadoop could kind of do ML, thanks to third-party tools. But in its early form of a Hadoop-based ML library, Mahout still required data scientists to write in Java. If you wanted ML beyond what Mahout provided, you had to frame your problem in MapReduce terms. Context, for one.

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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. A Data Scientist’s average salary in India is up to₹ 8.0 Lakhs per annum.

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Pickl AI

APRIL 27, 2023

Data Analytics Trend Report 2023: Data Science is an interdisciplinary field that focuses on filtering the data, categorizing it, and deriving valuable insights. As the importance of Data Science and its role continues to grow, so does the demand for data professionals. billion by 2030.

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AWS Machine Learning Blog

AUGUST 31, 2023

As Artificial Intelligence (AI) and Machine Learning (ML) technologies have become mainstream, many enterprises have been successful in building critical business applications powered by ML models at scale in production.

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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. To learn more about ML and retailers, click here. Get the dataset here. The post 13 Best Free Retail Datasets for Machine Learning appeared first on Iguazio.

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AWS Machine Learning Blog

APRIL 16, 2024

Amazon SageMaker Studio provides a fully managed solution for data scientists to interactively build, train, and deploy machine learning (ML) models. In the process of working on their ML tasks, data scientists typically start their workflow by discovering relevant data sources and connecting to them.

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AWS Machine Learning Blog

FEBRUARY 12, 2025

She has extensive hands-on experience in solving customers business use cases by utilizing generative AI as well as traditional AI/ML solutions. degree in Data Science from New York University. Follow Create a service role for model customization to modify the trust relationship and add the S3 bucket permission.

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DataRobot Blog

APRIL 4, 2022

log-linear model or more sophisticated ML models). Bringing Marketing Mix Modeling into the 21st century with ML and Automation. Historically, marketing departments have been the pioneers in adoption of new approaches for data analysis in most organizations. Breakthrough #3: ML algorithms’ complexity.

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DataRobot

SEPTEMBER 14, 2021

Since DataRobot was founded in 2012, we’ve been committed to democratizing access to the power of AI. We’re building a platform for all users: data scientists, analytics experts, business users, and IT. Let’s dive into each of these areas and talk about how we’re delivering the DataRobot AI Cloud Platform with our 7.2

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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. Editor’s Note: Heartbeat is a contributor-driven online publication and community dedicated to providing premier educational resources for data science, machine learning, and deep learning practitioners.

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Heartbeat

OCTOBER 9, 2023

Barceló and Maurizio Forte edited "Virtual Reality in Archaeology" (2012). Editor's Note: Heartbeat is a contributor-driven online publication and community dedicated to providing premier educational resources for data science, machine learning, and deep learning practitioners. Brutto, M. L., & Meli, P.

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Heartbeat

DECEMBER 14, 2023

Editor’s Note: Heartbeat is a contributor-driven online publication and community dedicated to providing premier educational resources for data science, machine learning, and deep learning practitioners. Hinton is viewed as a leading figure in the deep learning community.

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Heartbeat

DECEMBER 8, 2023

Editor’s Note: Heartbeat is a contributor-driven online publication and community dedicated to providing premier educational resources for data science, machine learning, and deep learning practitioners. Hinton is viewed as a leading figure in the deep learning community.

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Tableau

FEBRUARY 24, 2021

Data science has exploded over the past decade, changing the way that we conduct business and prepare the next generation of young people for the jobs of the future. I presented these results in a research publication entitled “ Passing the Data Baton: A Retrospective Analysis on Data Science Work and Workers ”.

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Tableau

FEBRUARY 24, 2021

Data science has exploded over the past decade, changing the way that we conduct business and prepare the next generation of young people for the jobs of the future. I presented these results in a research publication entitled “ Passing the Data Baton: A Retrospective Analysis on Data Science Work and Workers ”.

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DrivenData Labs

SEPTEMBER 10, 2024

Winning teams included individuals with expertise in computer science, engineering, biomedical informatics, neuroscience, psychology, data science, sociology, and various clinical specialties. Many teams combined technical skills in AI/ML with domain knowledge in neuroscience, aging, or healthcare.

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DrivenData Labs

MAY 1, 2025

For more practical guidance about extracting ML features from speech data, including example code to generate transformer embeddings, see this blog post ! Interpreting model features in a real-world context is difficult with voice data. Fangjing Wu is a data science master's student. changes between 2003 and 2012).

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Heartbeat

JULY 27, 2023

jpg': {'class': 132, 'label': 'Hyundai Tucson SUV 2012'}, '00235.jpg': jpg': {'class': 7, 'label': 'Acura ZDX Hatchback 2012'}, '00237.jpg': jpg': {'class': 65, 'label': 'Chevrolet Avalanche Crew Cab 2012'}, '00238.jpg':

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AWS Machine Learning Blog

APRIL 15, 2025

Your trust relationship should look like the following: { "Version": "2012-10-17", "Statement": [ { "Effect": "Allow", "Principal": { "Service": [ "ec2.amazonaws.com", About the authors Lior Sadan is a Senior Solutions Architect at AWS, with an affinity for storage solutions and AI/ML implementations. Choose Update policy.

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