insideBIGDATA

MARCH 22, 2024

GTC—Amazon Web Services (AWS), an Amazon.com company (NASDAQ: AMZN), and NVIDIA (NASDAQ: NVDA) today announced that the new NVIDIA Blackwell GPU platform—unveiled by NVIDIA at GTC 2024—is coming to AWS.

AWS 221

AWS Artificial Intelligence Artificial Intelligence AI 221

Analytics Vidhya

DECEMBER 30, 2022

Introduction In machine learning, the data is an essential part of the training of machine learning algorithms. The amount of data and the data quality highly affect the results from the machine learning algorithms. Almost all machine learning algorithms are data dependent, and […].

Machine Learning 270

Machine Learning Machine Learning Algorithm Data Quality 270

KDnuggets

NOVEMBER 18, 2021

This is the guide on how to build a serverless data pipeline on AWS with a Machine Learning model deployed as a Sagemaker endpoint.

Data Pipeline 386

Data Pipeline AWS ML ML 386

Analytics Vidhya

SEPTEMBER 28, 2020

Overview Amazon Web Services (AWS) is the leading cloud platform for deploying machine learning solutions Every data science professional should learn how AWS works. The post What is AWS? Why Every Data Science Professional Should Learn Amazon Web Services appeared first on Analytics Vidhya.

AWS 400

AWS Data Science Machine Learning Machine Learning 400

Analytics Vidhya

OCTOBER 13, 2021

This article was published as a part of the Data Science Blogathon Table of Contents — What is Automated Machine Learning? The post Introduction to Exciting AutoML services of AWS appeared first on Analytics Vidhya.

AWS 292

AWS Machine Learning Machine Learning Data Science 292

Analytics Vidhya

FEBRUARY 21, 2022

Image: [link] Introduction Artificial Intelligence & Machine learning is the most exciting and disruptive area in the current era. The post Building ML Model in AWS Sagemaker appeared first on Analytics Vidhya. AI/ML has become an integral part of research and innovations.

AWS 295

AWS ML ML Artificial Intelligence 295

Analytics Vidhya

SEPTEMBER 20, 2022

The post How do AWS S3 Buckets and Security Work? This article was published as a part of the Data Science Blogathon. appeared first on Analytics Vidhya.

AWS 249

AWS Machine Learning Machine Learning Data Science 249

Analytics Vidhya

JANUARY 17, 2024

Capgemini and Amazon Web Services (AWS) have extended their strategic collaboration, accelerating the adoption of generative AI solutions across organizations. This collaboration aims to leverage […] The post Capgemini and AWS Strengthen Ties for Widespread Generative AI Adoption appeared first on Analytics Vidhya.

AWS 294

AWS AI AI Analytics 294

AWS Machine Learning Blog

MARCH 10, 2023

You can use this metadata in your data analytics solutions, machine learning model training tasks, or visualizations and dashboards that consume transaction data. About the Authors Veda Raman is a Senior Specialist Solutions Architect for machine learning based in Maryland.

Machine Learning 113

Machine Learning Machine Learning AWS Apache Kafka 113

Analytics Vidhya

FEBRUARY 19, 2023

One of its unique features is the ability to build and run machine learning models directly inside the database without extracting the data and moving it to another platform. BigQuery was created to analyse data […] The post Building a Machine Learning Model in BigQuery appeared first on Analytics Vidhya.

Machine Learning 236

Machine Learning Machine Learning Data Warehouse Database 236

Flipboard

JULY 5, 2023

Today, we are delighted to introduce the latest version of the AWS Well-Architected Machine Learning (ML) Lens whitepaper. The AWS Well-Architected Framework provides architectural best practices for designing and operating ML workloads on AWS.

Machine Learning 77

Machine Learning Machine Learning AWS ML 77

Analytics Vidhya

NOVEMBER 1, 2021

Image 1- [link] Whether you are an experienced or an aspiring data scientist, you must have worked on machine learning model development comprising of data cleaning, wrangling, comparing different ML models, training the models on Python Notebooks like Jupyter. All the […].

AWS 284

AWS Data Scientist Machine Learning Machine Learning 284

Flipboard

NOVEMBER 21, 2023

MATLAB   is a popular programming tool for a wide range of applications, such as data processing, parallel computing, automation, simulation, machine learning, and artificial intelligence. In recent years, MathWorks has brought many product offerings into the cloud, especially on Amazon Web Services (AWS).

Machine Learning 116

Machine Learning Machine Learning AWS Decision Trees 116

AWS Machine Learning Blog

APRIL 11, 2024

AWS was delighted to present to and connect with over 18,000 in-person and 267,000 virtual attendees at NVIDIA GTC, a global artificial intelligence (AI) conference that took place March 2024 in San Jose, California, returning to a hybrid, in-person experience for the first time since 2019.

AWS 97

AWS AI AI Clustering 97

AWS Machine Learning Blog

MAY 15, 2024

ONNX is an open source machine learning (ML) framework that provides interoperability across a wide range of frameworks, operating systems, and hardware platforms. AWS Graviton3 processors are optimized for ML workloads, including support for bfloat16, Scalable Vector Extension (SVE), and Matrix Multiplication (MMLA) instructions.

AWS 89

AWS Natural Language Processing Python Deep Learning 89

IBM Data Science in Practice

APRIL 4, 2023

Introduction This article shows how to monitor a model deployed on AWS Sagemaker for quality, bias and explainability, using IBM Watson OpenScale on the IBM Cloud Pak for Data platform. This article shows how to use the endpoint generated from that tutorial to demonstrate how to monitor the AWS deployment with Watson OpenScale.

AWS 130

AWS Machine Learning Machine Learning Data Science 130

AWS Machine Learning Blog

APRIL 16, 2024

At AWS, our top priority is safeguarding the security and confidentiality of our customers’ workloads. With the AWS Nitro System , we delivered a first-of-its-kind innovation on behalf of our customers. The Nitro System is an unparalleled computing backbone for AWS, with security and performance at its core.

AWS 117

AWS AI AI ML 117

Analytics Vidhya

JANUARY 10, 2022

Image Source: Author Cloud computing is an important term for all Data Science and Machine Learning Enthusiasts. The post Introduction to Cloud Computing for Machine Learning Beginners appeared first on Analytics Vidhya. It is unlikely that you may not have come across it, even as a beginner.

Cloud Computing 293

Cloud Computing Machine Learning Machine Learning Data Science 293

AWS Machine Learning Blog

JANUARY 13, 2023

In this post, we show you how Parsons is building its next generation workforce by using machine learning (ML) and artificial intelligence (AI) with AWS DeepRacer in a fun and collaborative way. Parsons realized success of this event would be driven by efficient mechanisms and processes the AWS DeepRacer community has in place.

AWS 85

AWS Artificial Intelligence Artificial Intelligence Machine Learning 85

Analytics Vidhya

MAY 20, 2022

Introduction Most data science projects deploy machine learning models as an on-demand prediction service or in batch prediction mode. The post Creating an ML Web App and Deploying it on AWS appeared first on Analytics Vidhya. Some modern applications deploy embedded models in edge and mobile devices.

AWS 225

AWS ML ML Data Science 225

Towards AI

OCTOBER 4, 2023

Photo by Markus Winkler on Unsplash This story explains how to create and orchestrate machine learning pipelines with AWS Step Functions and deploy them using Infrastructure as Code. We can use AWS Step Functions to trigger any other service, even including managed services from other vendors.

Machine Learning 57

Machine Learning Machine Learning AWS ML 57

AWS Machine Learning Blog

DECEMBER 19, 2023

Artificial intelligence (AI) and machine learning (ML) are becoming an integral part of systems and processes, enabling decisions in real time, thereby driving top and bottom-line improvements across organizations. Machine learning operations (MLOps) applies DevOps principles to ML systems.

Machine Learning 103

Machine Learning Machine Learning AWS Analytics 103

Flipboard

NOVEMBER 26, 2023

Today we are announcing two new optimized integrations for AWS Step Functions with Amazon Bedrock. Step Functions is a visual workflow service that helps developers build distributed applications, automate processes, orchestrate microservices, and create data and machine learning (ML) pipelines.

AWS 151

AWS Machine Learning Machine Learning ML 151

Data Science 101

SEPTEMBER 28, 2019

Amazon and Coursera have teamed up to create Getting Started with AWS Machine Learning. Topics covered are: Machine Learning. Happy Learning! Computer Vision. Amazon Sagemaker.

Machine Learning 105

Machine Learning Machine Learning AWS Data Science 105

Flipboard

JULY 4, 2023

While there are some big names in the technology world that are worried about a potential existential threat posed by artificial intelligence (AI), Matt Wood, VP of product at AWS, is not one of them. Wood has long been a standard bearer for machine learning (ML) at AWS and is a fixture at the …

AWS 163

AWS Artificial Intelligence Artificial Intelligence Machine Learning 163

AWS Machine Learning Blog

APRIL 2, 2024

In 2023, AWS announced an expanded collaboration with Hugging Face to accelerate our customers’ generative artificial intelligence (AI) journey. Over the past year, we have partnered to make it effortless to train, fine-tune, and deploy Hugging Face models using Amazon SageMaker , AWS Trainium , and AWS Inferentia.

AWS 85

AWS AI AI Artificial Intelligence 85

KDnuggets

SEPTEMBER 30, 2023

Learn a simple way to have a live model hosted on AWS.

Machine Learning 285

Machine Learning Machine Learning AWS 285

Flipboard

JUNE 20, 2023

Machine learning (ML) engineers have traditionally focused on striking a balance between model training and deployment cost vs. performance. There are several ways AWS is enabling ML practitioners to lower the environmental impact of their workloads. The results are presented in the following figure.

AWS 94

AWS Machine Learning Machine Learning Deep Learning 94

AWS Machine Learning Blog

FEBRUARY 27, 2024

In this post, we share how Axfood, a large Swedish food retailer, improved operations and scalability of their existing artificial intelligence (AI) and machine learning (ML) operations by prototyping in close collaboration with AWS experts and using Amazon SageMaker.

Machine Learning 112

Machine Learning Machine Learning ML ML 112

Dataconomy

NOVEMBER 29, 2023

AWS re:Invent 2023 , Amazon Web Services’ annual flagship conference, took place in Las Vegas from November 27 to December 1, 2023. AWS re:Invent 2023 keynotes Although Amazon has not been mentioned much by the media for many years, it has provided us with many services in the field of technology.

AWS 113

AWS Cloud Computing AI AI 113

KDnuggets

NOVEMBER 18, 2021

This is the guide on how to build a serverless data pipeline on AWS with a Machine Learning model deployed as a Sagemaker endpoint.

Data Pipeline 207

Data Pipeline AWS ML ML 207

IBM Data Science in Practice

MARCH 8, 2023

Introduction This article shows how to build a machine learning model on a Watson Studio platform running on IBM Cloud Pak for Data (CPD). You can then export the model and deploy it on Amazon Sagemaker on Amazon Web Server (AWS). environment running on IBM Cloud Pak for Data 4.5.x, Follow the steps to create a sample model.

AWS 130

AWS Machine Learning Machine Learning Algorithm 130

KDnuggets

SEPTEMBER 19, 2022

This scholarship program aims to help people who are underserved and that were underrepresented during high school and college - to then help them learn the foundations and concepts of Machine Learning and build a careers in AI and ML.

ML 284

ML ML AWS Machine Learning 284

AWS Machine Learning Blog

APRIL 29, 2024

Close collaboration with AWS Trainium has also played a major role in making the Arcee platform extremely performant, not only accelerating model training but also reducing overall costs and enforcing compliance and data integrity in the secure AWS environment. Our cluster consisted of 16 nodes, each equipped with a trn1n.32xlarge

AWS 100

AWS Clustering ML ML 100

Analytics Vidhya

DECEMBER 20, 2022

Introduction Source: krzysztof-m from Pixabay Amazon Web Services (AWS) Simple Storage Service (S3) is a highly scalable, secure, and durable cloud storage service. The post How to Optimize the Performance of AWS S3? appeared first on Analytics Vidhya.

AWS 225

AWS Data Science Analytics Analytics 225

AWS Machine Learning Blog

JANUARY 5, 2024

This post was written in collaboration with Bhajandeep Singh and Ajay Vishwakarma from Wipro’s AWS AI/ML Practice. Many organizations have been using a combination of on-premises and open source data science solutions to create and manage machine learning (ML) models.

AWS 109

AWS Data Science ML ML 109

Analytics Vidhya

MAY 31, 2022

Introduction on AWS Sagemaker Data scientists need to create, train and deploy a large number of models as they work. AWS has created a simple […]. The post An Introduction to AWS Sagemaker for Beginners appeared first on Analytics Vidhya. This article was published as a part of the Data Science Blogathon.

AWS 222

AWS Data Scientist Data Science Analytics 222