Data Science Dojo

MARCH 4, 2024

Introduction of cuDNN Library: In 2014, the company launched its cuDNN (CUDA Deep Neural Network) Library. Collaborations with leading tech giants – AWS, Microsoft, and Google among others – paved the way to expand NVIDIA’s influence in the AI market. It provided optimized codes for deep learning models.

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AWS Machine Learning Blog

AUGUST 2, 2024

About the Author Xiang Song is a senior applied scientist at AWS AI Research and Education (AIRE), where he develops deep learning frameworks including GraphStorm, DGL and DGL-KE. in computer systems and architecture at the Fudan University, Shanghai, in 2014. Conclusion GraphStorm 0.3 is published under the Apache-2.0

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AWS Machine Learning Blog

MAY 7, 2024

Founded in 2014, Veritone empowers people with AI-powered software and solutions for various applications, including media processing, analytics, advertising, and more. The processed videos are sent to AWS services like Amazon Rekognition, Amazon Transcribe, and Amazon Comprehend to generate metadata at shot level and video level.

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AWS Machine Learning Blog

JUNE 3, 2024

based single sign-on (SSO) methods, such as AWS IAM Identity Center. To learn more, see Secure access to Amazon SageMaker Studio with AWS SSO and a SAML application. For more information, see AWS managed policy: AmazonSageMakerCanvasAIServicesAccess. Go to the SageMaker Canvas page and launch the SageMaker Canvas application.

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AWS Machine Learning Blog

OCTOBER 6, 2023

Next, we recommend “Interstellar” (2014), a thought-provoking and visually stunning film that delves into the mysteries of time and space. About the Authors Yanwei Cui , PhD, is a Senior Machine Learning Specialist Solutions Architect at AWS. Gordon Wang is a Senior AI/ML Specialist TAM at AWS.

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AWS Machine Learning Blog

NOVEMBER 15, 2023

As an example downstream application, the fine-tuned model can be used in pre-labeling workflows such as the one described in Auto-labeling module for deep learning-based Advanced Driver Assistance Systems on AWS. Start building the future with AWS today.

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phData

DECEMBER 16, 2024

About phData phData, one of the largest pure-play data engineering companies globally, is certified as a Snowflake Elite Services Partner and an AWS Advanced Consulting Partner. Specializing in AI and data applications, phData offers services including data engineering, AI & machine learning , and analytics & visualization.

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IBM Journey to AI blog

NOVEMBER 2, 2023

These tech pioneers were looking for ways to bring Google’s internal infrastructure expertise into the realm of large-scale cloud computing and also enable Google to compete with Amazon Web Services (AWS)—the unrivaled leader among cloud providers at the time.

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IBM Journey to AI blog

NOVEMBER 13, 2023

Developed internally at Google and released to the public in 2014, Kubernetes has enabled organizations to move away from traditional IT infrastructure and toward the automation of operational tasks tied to the deployment, scaling and managing of containerized applications (or microservices ).

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AWS Machine Learning Blog

JANUARY 25, 2023

It is constructed by selecting 14 non-overlapping classes from DBpedia 2014. About the Authors Pinak Panigrahi works with customers to build machine learning driven solutions to solve strategic business problems on AWS. Dhawal Patel is a Principal Machine Learning Architect at AWS.

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Chatbots Life

MAY 16, 2023

Master of Code Global (MOCG) is a certified partner of Microsoft and AWS and has been recognized by LivePerson, Inc. Deeper Insights Year Founded : 2014 HQ : London, UK Team Size : 11–50 employees Clients : Smith and Nephew, Deloitte, Breast Cancer Now, IAC, Jones Lang-Lasalle, Revival Health.

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Cambridge Intelligence

OCTOBER 19, 2023

.” First release: 2017 Format: An open-source, hosted, native, property and RDF graph database Top 3 advantages: Built for cloud – Neptune is fully managed by AWS, meaning you can leave infrastructure challenges, updates, backups and other admin tasks to them.

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Heartbeat

FEBRUARY 27, 2023

AWS, Google Cloud, and Azure are a few well-known cloud service providers that provide pre-built GANs and DRL frameworks for creating and deploying models on their cloud platforms. When choosing a framework, it is critical to consider both the users’ level of experience and the specific requirements of the task at hand.

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AWS Machine Learning Blog

JULY 13, 2023

Advances in neural information processing systems 27 (2014). “Toward understanding the impact of staleness in distributed machine learning.” arXiv preprint arXiv:1810.03264 (2018). [4] 4] Dauphin, Yann N., Identifying and attacking the saddle point problem in high-dimensional non-convex optimization.”

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DagsHub

APRIL 7, 2024

The project was created in 2014 by Airbnb and has been developed by the Apache Software Foundation since 2016. Integration: It can work alongside other workflow orchestration tools (Airflow cluster or AWS SageMaker Pipelines, etc.) Hopefully, you can use it as a cheatsheet that will help you make a decision for your next project!

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DagsHub

OCTOBER 23, 2024

BLEU on the WMT 2014 English- to-German translation task, improving over the existing best results, including ensembles, by over 2 BLEU. On the WMT 2014 English-to-French translation task, our model establishes a new single-model state-of-the-art BLEU score of 41.8 Our model achieves 28.4 after training for 3.5

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ODSC - Open Data Science

JANUARY 29, 2024

GANs, introduced in 2014 paved the way for GenAI with models like Pix2pix and DiscoGAN. While AWS is usually the winner when it comes to data science and machine learning, it’s Microsoft Azure that’s taking the lead for prompt engineering job descriptions.

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phData

MAY 25, 2023

Snowflake was originally launched in October 2014, but it wasn’t until 2018 that Snowflake became available on Azure. However, Snowflake runs better on Azure than it does on AWS – so even though it’s not the ideal situation, Microsoft still sees Azure consumption when organizations host Snowflake on Azure.

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The MLOps Blog

OCTOBER 20, 2023

In 2014, Project Jupyter evolved from IPython. My general advice for exploring these products: If your company is already using a cloud provider like AWS, Google Cloud Platform, or Azure it might be a good idea to adopt their notebook solution, as accessing your company’s infrastructure will likely be easier and seem less risky.

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AWS Machine Learning Blog

JULY 9, 2024

Currently he helps customers in the financial service and insurance industry build machine learning solutions on AWS. Joe Dunn is an AWS Principal Solutions Architect in Financial Services with over 20 years of experience in infrastructure architecture and migration of business-critical loads to AWS.

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AWS Machine Learning Blog

APRIL 5, 2024

Among these models, the spatial fixed effect model yielded the highest mean R-squared value, particularly for the timeframe spanning 2014 to 2020. Janosch Woschitz is a Senior Solutions Architect at AWS, specializing in AI/ML. These forecasts aided in understanding future LST values and their trends.

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AWS Machine Learning Blog

DECEMBER 4, 2024

SageMaker Unified Studio combines various AWS services, including Amazon Bedrock , Amazon SageMaker , Amazon Redshift , Amazon Glue , Amazon Athena , and Amazon Managed Workflows for Apache Airflow (MWAA) , into a comprehensive data and AI development platform. Navigate to the AWS Secrets Manager console and find the secret -api-keys.

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AWS Machine Learning Blog

FEBRUARY 29, 2024

In this post, we investigate of potential for the AWS Graviton3 processor to accelerate neural network training for ThirdAI’s unique CPU-based deep learning engine. As shown in our results, we observed a significant training speedup with AWS Graviton3 over the comparable Intel and NVIDIA instances on several representative modeling workloads.

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AWS Machine Learning Blog

JUNE 24, 2024

Amazon SageMaker Ground Truth is an AWS managed service that makes it straightforward and cost-effective to get high-quality labeled data for machine learning (ML) models by combining ML and expert human annotation. Overall Architecture Krikey AI built their AI-powered 3D animation platform using a comprehensive suite of AWS services.

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AWS Machine Learning Blog

JANUARY 26, 2023

Since March 2014, Best Egg has delivered $22 billion in consumer personal loans with strong credit performance, welcomed almost 637,000 members to the recently launched Best Egg Financial Health platform, and empowered over 180,000 cardmembers who carry the new Best Egg Credit Card in their wallet. Solutions Architect at AWS.

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Snorkel AI

MAY 24, 2023

He received the 2014 ACM Doctoral Dissertation Award and the 2019 Presidential Early Career Award for Scientists and Engineers for his research on large-scale computing. He was previously a senior leader at AWS, and the CTO of Analytics & ML at IBM. He is also the creator of Apache Spark.

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Snorkel AI

MAY 24, 2023

He received the 2014 ACM Doctoral Dissertation Award and the 2019 Presidential Early Career Award for Scientists and Engineers for his research on large-scale computing. He was previously a senior leader at AWS, and the CTO of Analytics & ML at IBM. He is also the creator of Apache Spark.

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AWS Machine Learning Blog

MAY 24, 2023

Let’s set up the SageMaker execution role so it has permissions to run AWS services on your behalf: sagemaker_session = Session() aws_role = sagemaker_session.get_caller_identity_arn() aws_region = boto3.Session().region_name Rachna Chadha is a Principal Solutions Architect AI/ML in Strategic Accounts at AWS.

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AWS Machine Learning Blog

NOVEMBER 11, 2024

Prerequisites To try out this solution using SageMaker JumpStart, you’ll need the following prerequisites: An AWS account that will contain all of your AWS resources. An AWS Identity and Access Management (IAM) role to access SageMaker. He is specialized in architecting AI/ML and generative AI services at AWS.

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