Data Science Dojo

OCTOBER 31, 2024

Research Data Scientist Description : Research Data Scientists are responsible for creating and testing experimental models and algorithms. Key Skills: Mastery in machine learning frameworks like PyTorch or TensorFlow is essential, along with a solid foundation in unsupervised learning methods.

Data Science 195

Data Science Data Scientist Machine Learning Machine Learning 195

AWS Machine Learning Blog

OCTOBER 5, 2023

In this post, we walk through how to fine-tune Llama 2 on AWS Trainium , a purpose-built accelerator for LLM training, to reduce training times and costs. We review the fine-tuning scripts provided by the AWS Neuron SDK (using NeMo Megatron-LM), the various configurations we used, and the throughput results we saw.

AWS 130

AWS Machine Learning Machine Learning Deep Learning 130

Flipboard

JUNE 20, 2023

There are several ways AWS is enabling ML practitioners to lower the environmental impact of their workloads. Inferentia and Trainium are AWS’s recent addition to its portfolio of purpose-built accelerators specifically designed by Amazon’s Annapurna Labs for ML inference and training workloads. times higher inference throughput.

AWS 123

AWS Machine Learning Machine Learning ML 123

Smart Data Collective

FEBRUARY 20, 2022

AWS (Amazon Web Services), the comprehensive and evolving cloud computing platform provided by Amazon, is comprised of infrastructure as a service (IaaS), platform as a service (PaaS) and packaged software as a service (SaaS). With its wide array of tools and convenience, AWS has already become a popular choice for many SaaS companies.

AWS 138

AWS Cloud Computing Data Lakes Database 138

Towards AI

JANUARY 29, 2025

Generative AI is powered by advanced machine learning techniques, particularly deep learning and neural networks, such as Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs). Cloud Computing: AWS, Google Cloud, Azure (for deploying AI models) Soft Skills: 1. Adaptability and Continuous Learning 4.

Deep Learning 94

Deep Learning Deep Learning Machine Learning Machine Learning 94

AWS Machine Learning Blog

OCTOBER 10, 2023

Machine learning (ML), especially deep learning, requires a large amount of data for improving model performance. Customers often need to train a model with data from different regions, organizations, or AWS accounts. Federated learning (FL) is a distributed ML approach that trains ML models on distributed datasets.

AWS 124

AWS ML ML Algorithm 124

AWS Machine Learning Blog

JANUARY 17, 2024

Today, we’re excited to announce the availability of Llama 2 inference and fine-tuning support on AWS Trainium and AWS Inferentia instances in Amazon SageMaker JumpStart. In this post, we demonstrate how to deploy and fine-tune Llama 2 on Trainium and AWS Inferentia instances in SageMaker JumpStart.

AWS 133

AWS Python Machine Learning Machine Learning 133

AWS Machine Learning Blog

JANUARY 27, 2025

Amazon SageMake r provides a seamless experience for building, training, and deploying machine learning (ML) models at scale. For this post, we use the us-east-1 AWS Region: Have access to a POSIX based (Mac/Linux) system or SageMaker notebooks. This post uses CodeBuild and a Docker Dockerfile to build the extended container.

AWS 111

AWS Deep Learning Deep Learning Machine Learning 111

AWS Machine Learning Blog

MARCH 21, 2025

AWS Lambda AWS Lambda is a compute service that runs code in response to triggers such as changes in data, changes in application state, or user actions. Prerequisites If youre new to AWS, you first need to create and set up an AWS account. We use Amazon S3 to store sample documents that are used in this solution.

AWS 117

AWS AI AI Data Scientist 117

AWS Machine Learning Blog

NOVEMBER 18, 2024

It supports exact and approximate nearest-neighbor algorithms and multiple storage and matching engines. It makes it simple for you to build modern machine learning (ML) augmented search experiences, generative AI applications, and analytics workloads without having to manage the underlying infrastructure.

K-nearest Neighbors 115

K-nearest Neighbors AWS ML ML 115

AWS Machine Learning Blog

NOVEMBER 8, 2023

AWS and NVIDIA have come together to make this vision a reality. AWS, NVIDIA, and other partners build applications and solutions to make healthcare more accessible, affordable, and efficient by accelerating cloud connectivity of enterprise imaging. AHI provides API access to ImageSet metadata and ImageFrames.

AWS 126

AWS AI AI ML 126

DrivenData Labs

MAY 12, 2025

competition, winning solutions used deep learning approaches from facial recognition tasks (particularly ArcFace and EfficientNet) to help the Bureau of Ocean and Energy Management and NOAA Fisheries monitor endangered populations of beluga whales by matching overhead photos with known individuals. For example: In the Where's Whale-do?

Algorithm 130

Algorithm Machine Learning Machine Learning Deep Learning 130

Flipboard

JUNE 26, 2023

These techniques utilize various machine learning (ML) based approaches. In this post, we look at how we can use AWS Glue and the AWS Lake Formation ML transform FindMatches to harmonize (deduplicate) customer data coming from different sources to get a complete customer profile to be able to provide better customer experience.

AWS 123

AWS ML ML ETL 123

Towards AI

NOVEMBER 5, 2023

Source: [link] This article describes a solution for a generative AI resume screener that got us 3rd place at DataRobot & AWS Hackathon 2023. You can also set the environment variables on the notebook instance for things like AWS access key etc. Source: author’s screenshot on AWS We used Anthropic Claude 2 in our solution.

AWS 122

AWS Machine Learning Machine Learning Python 122

AWS Machine Learning Blog

MAY 10, 2023

In this post, we focus on how you can take advantage of the AWS Graviton3 -based Amazon Elastic Compute Cloud (EC2) C7g instances to help reduce inference costs by up to 50% relative to comparable EC2 instances for real-time inference on Amazon SageMaker. 4xlarge (AWS Graviton3) is about 50% of the c5.4xlarge and 40% of c6i.4xlarge;

AWS 102

AWS ML ML Machine Learning 102

Data Science Dojo

MAY 24, 2024

They work at the intersection of various technical domains, requiring a blend of skills to handle data processing, algorithm development, system design, and implementation. Machine Learning Algorithms Recent improvements in machine learning algorithms have significantly enhanced their efficiency and accuracy.

Deep Learning 195

Deep Learning Deep Learning Machine Learning Machine Learning 195

How to Learn Machine Learning

MAY 1, 2025

In this article we will have the top AWS AI Services explained easily for you, so sit back, relax, and enjoy. AWS users commonly struggle with the selection between using pre-built models and customized models on the platform. What Are AWS Pre-Built AI Services? What Are Custom AI Models on AWS?

AWS 59

AWS Machine Learning Machine Learning AI 59

AWS Machine Learning Blog

APRIL 7, 2025

Virginia) AWS Region. Prerequisites To try the Llama 4 models in SageMaker JumpStart, you need the following prerequisites: An AWS account that will contain all your AWS resources. An AWS Identity and Access Management (IAM) role to access SageMaker AI. The example extracts and contextualizes the buildspec-1-10-2.yml

AWS 120

AWS Machine Learning Machine Learning ML 120

AWS Machine Learning Blog

OCTOBER 10, 2024

To achieve this, the Rufus team is using multiple AWS services and AWS AI chips, AWS Trainium and AWS Inferentia. Inferentia and Trainium are purpose-built chips developed by AWS that accelerate deep learning workloads with high performance and lower overall costs.

AWS 102

AWS AI AI Machine Learning 102

AWS Machine Learning Blog

DECEMBER 2, 2024

Over the past decade, advancements in deep learning have spurred a shift toward so-called global models such as DeepAR [3] and PatchTST [4]. AutoGluon predictors can be seamlessly deployed to SageMaker using AutoGluon-Cloud and the official Deep Learning Containers.

Machine Learning 100

Machine Learning Machine Learning Deep Learning Deep Learning 100

Flipboard

MARCH 7, 2023

This post presents a solution that uses a workflow and AWS AI and machine learning (ML) services to provide actionable insights based on those transcripts. We use multiple AWS AI/ML services, such as Contact Lens for Amazon Connect and Amazon SageMaker , and utilize a combined architecture.

ML 123

ML ML AWS AI 123

AWS Machine Learning Blog

FEBRUARY 11, 2025

Today, AWS AI released GraphStorm v0.4. Prerequisites To run this example, you will need an AWS account, an Amazon SageMaker Studio domain, and the necessary permissions to run BYOC SageMaker jobs. Using SageMaker Pipelines to train models provides several benefits, like reduced costs, auditability, and lineage tracking. million edges.

AWS 113

AWS Python ML ML 113

AWS Machine Learning Blog

NOVEMBER 14, 2024

This is where AWS and generative AI can revolutionize the way we plan and prepare for our next adventure. This innovative service goes beyond traditional trip planning methods, offering real-time interaction through a chat-based interface and maintaining scalability, reliability, and data security through AWS native services.

AWS 115

AWS AI AI Machine Learning 115

AWS Machine Learning Blog

JANUARY 13, 2023

In this two-part series, we demonstrate how you can deploy a cloud-based FL framework on AWS. We have developed an FL framework on AWS that enables analyzing distributed and sensitive health data in a privacy-preserving manner. In this post, we showed how you can deploy the open-source FedML framework on AWS.

AWS 105

AWS Analytics Analytics Machine Learning 105

AWS Machine Learning Blog

JUNE 25, 2024

Amazon Web Services is excited to announce the launch of the AWS Neuron Monitor container , an innovative tool designed to enhance the monitoring capabilities of AWS Inferentia and AWS Trainium chips on Amazon Elastic Kubernetes Service (Amazon EKS).

AWS 99

AWS ML ML Clustering 99

AWS Machine Learning Blog

MARCH 18, 2025

To simplify this process, AWS introduced Amazon SageMaker HyperPod during AWS re:Invent 2023 , and it has emerged as a pioneering solution, revolutionizing how companies approach AI development and deployment. To address this, AWS is introducing flexible training plans for SageMaker HyperPod.

AI 117

AI AI AWS Clustering 117

AWS Machine Learning Blog

JUNE 22, 2023

Working with AWS, Light & Wonder recently developed an industry-first secure solution, Light & Wonder Connect (LnW Connect), to stream telemetry and machine health data from roughly half a million electronic gaming machines distributed across its casino customer base globally when LnW Connect reaches its full potential.

AWS 115

AWS ML ML Machine Learning 115

AWS Machine Learning Blog

JANUARY 13, 2023

To mitigate these challenges, we propose a federated learning (FL) framework, based on open-source FedML on AWS, which enables analyzing sensitive HCLS data. It involves training a global machine learning (ML) model from distributed health data held locally at different sites. Request a VPC peering connection.

AWS 101

AWS Analytics Analytics Machine Learning 101

DagsHub

JULY 25, 2024

Source: Author Introduction Deep learning, a branch of machine learning inspired by biological neural networks, has become a key technique in artificial intelligence (AI) applications. Deep learning methods use multi-layer artificial neural networks to extract intricate patterns from large data sets.

Deep Learning 52

Deep Learning Deep Learning Machine Learning Machine Learning 52

AWS Machine Learning Blog

MAY 15, 2025

By using cutting-edge generative AI and deep learning technologies, Apoidea has developed innovative AI-powered solutions that address the unique needs of multinational banks. Additionally, its modular design and integration of cutting-edge algorithms, such as FlashAttention-2 and GaLore , facilitate high performance and scalability.

AWS 93

AWS ML ML Machine Learning 93

AWS Machine Learning Blog

OCTOBER 23, 2024

SnapLogic uses Amazon Bedrock to build its platform, capitalizing on the proximity to data already stored in Amazon Web Services (AWS). To address customers’ requirements about data privacy and sovereignty, SnapLogic deploys the data plane within the customer’s VPC on AWS.

AI 93

AI AI AWS Database 93

AWS Machine Learning Blog

MAY 16, 2024

Therefore, we decided to introduce a deep learning-based recommendation algorithm that can identify not only linear relationships in the data, but also more complex relationships. Recommendation model using NCF NCF is an algorithm based on a paper presented at the International World Wide Web Conference in 2017.

AWS 130

AWS ML ML Deep Learning 130

AWS Machine Learning Blog

SEPTEMBER 9, 2024

To address customer needs for high performance and scalability in deep learning, generative AI, and HPC workloads, we are happy to announce the general availability of Amazon Elastic Compute Cloud (Amazon EC2) P5e instances, powered by NVIDIA H200 Tensor Core GPUs. Karthik Venna is a Principal Product Manager at AWS.

AWS 110

AWS Deep Learning Deep Learning ML 110

AWS Machine Learning Blog

AUGUST 26, 2024

AWS makes it possible for organizations of all sizes and developers of all skill levels to build and scale generative AI applications with security, privacy, and responsible AI. In this post, we dive into the architecture and implementation details of GenASL, which uses AWS generative AI capabilities to create human-like ASL avatar videos.

AWS 126

AWS AI AI ML 126

AWS Machine Learning Blog

FEBRUARY 28, 2025

This post was written by Claudiu Bota, Oleg Yurchenko, and Vladyslav Melnyk of AWS Partner Automat-it. As organizations adopt AI and machine learning (ML), theyre using these technologies to improve processes and enhance products. This approach was inspired by several AWS blog posts that can be found in the references section.

AWS 114

AWS AI AI Deep Learning 114

AWS Machine Learning Blog

OCTOBER 23, 2023

The performance of Talent.com’s matching algorithm is paramount to the success of the business and a key contributor to their users’ experience. The system is developed by a team of dedicated applied machine learning (ML) scientists, ML engineers, and subject matter experts in collaboration between AWS and Talent.com.

AWS 125

AWS Deep Learning Deep Learning Machine Learning 125

AWS Machine Learning Blog

JUNE 5, 2023

Data is the foundation for machine learning (ML) algorithms. Canvas provides connectors to AWS data sources such as Amazon Simple Storage Service (Amazon S3), Athena, and Amazon Redshift. In this post, we describe how to query Parquet files with Athena using AWS Lake Formation and use the output Canvas to train a model.

Machine Learning 98

Machine Learning Machine Learning AWS Data Lakes 98