IBM Data Science in Practice

MARCH 13, 2023

This sets the stage for how bias can be identified in machine learning. Learn more about how Disparate-Impact Remover works and check out an AIF360 code demo. Learn more about how Learning Fair Representations works and check out an AIF360 code demo. Any bias removal matters in machine learning.

Machine Learning 130

Machine Learning Machine Learning Algorithm Data Scientist 130

PyImageSearch

DECEMBER 30, 2024

Hugging Face Spaces is a platform for deploying and sharing machine learning (ML) applications with the community. It offers an interactive interface, enabling users to explore ML models directly in their browser without the need for local setup. The app will now be accessible at the Spaces URL for anyone to try!

Deep Learning 109

Deep Learning Deep Learning ML ML 109

Data Science Dojo

JANUARY 22, 2025

You will also see a hands-on demo of implementing vector search over the complete Wikipedia dataset using Weaviate. Part 3: Challenges of Industry ML/AI Applications at Scale with Vector Embeddings Scaling AI and ML systems in the modern technological world presents unique and complex challenges.

Database 195

Database ML ML AI 195

AWS Machine Learning Blog

NOVEMBER 22, 2023

Now all you need is some guidance on generative AI and machine learning (ML) sessions to attend at this twelfth edition of re:Invent. Third, a number of sessions will be of interest to ML practitioners who build, deploy, and operationalize both traditional and generative AI models.

AWS 139

AWS ML ML AI 139

ODSC - Open Data Science

MARCH 6, 2023

In an effort to learn more about our community, we recently shared a survey about machine learning topics, including what platforms you’re using, in what industries, and what problems you’re facing. For currently-used machine learning frameworks, some of the usual contenders were popular as expected.

Machine Learning 116

Machine Learning Machine Learning Data Science Deep Learning 116

DataRobot Blog

DECEMBER 6, 2022

Savvy data scientists are already applying artificial intelligence and machine learning to accelerate the scope and scale of data-driven decisions in strategic organizations. Data Scientists of Varying Skillsets Learn AI – ML Through Technical Blogs. Watch a demo. See DataRobot in Action.

Data Scientist 145

Data Scientist ML ML AI 145

Flipboard

NOVEMBER 30, 2023

Amazon SageMaker is a fully managed service that enables developers and data scientists to quickly and effortlessly build, train, and deploy machine learning (ML) models at any scale. For example: input = "How is the demo going?" Refer to demo-model-builder-huggingface-llama2.ipynb

ML 167

ML ML AWS Python 167

AWS Machine Learning Blog

DECEMBER 15, 2023

We are excited to announce the launch of Amazon DocumentDB (with MongoDB compatibility) integration with Amazon SageMaker Canvas , allowing Amazon DocumentDB customers to build and use generative AI and machine learning (ML) solutions without writing code. Prepare data for machine learning.

Machine Learning 125

Machine Learning Machine Learning AWS ML 125

AWS Machine Learning Blog

FEBRUARY 13, 2025

For this demo, weve implemented metadata filtering to retrieve only the appropriate level of documents based on the users access level, further enhancing efficiency and security. To get started, explore our GitHub repo and HR assistant demo application , which demonstrate key implementation patterns and best practices.

AI 103

AI AI AWS ML 103

PyImageSearch

DECEMBER 18, 2023

But again, stick around for a surprise demo at the end. ? This format made for a fast-paced and diverse showcase of ideas and applications in AI and ML. In just 3 minutes, each participant managed to highlight the core of their work, offering insights into the innovative ways in which AI and ML are being applied across various fields.

ML 70

ML ML Deep Learning Deep Learning 70

AWS Machine Learning Blog

JANUARY 6, 2025

It usually comprises parsing log data into vectors or machine-understandable tokens, which you can then use to train custom machine learning (ML) algorithms for determining anomalies. You can adjust the inputs or hyperparameters for an ML algorithm to obtain a combination that yields the best-performing model.

Python 115

Python AWS ML ML 115

ODSC - Open Data Science

MARCH 13, 2023

Recently, we posted the first article recapping our recent machine learning survey. There, we talked about some of the results, such as what programming languages machine learning practitioners use, what frameworks they use, and what areas of the field they’re interested in. As the chart shows, two major themes emerged.

Machine Learning 94

Machine Learning Machine Learning Data Wrangling Data Science 94

ODSC - Open Data Science

MARCH 22, 2023

Many companies are now utilizing data science and machine learning , but there’s still a lot of room for improvement in terms of ROI. Nevertheless, we are still left with the question: How can we do machine learning better? As a bonus, we’ll look into boosting your ML performance with smart upsampling.

Machine Learning 98

Machine Learning Machine Learning Data Science Artificial Intelligence 98

AWS Machine Learning Blog

FEBRUARY 11, 2025

GraphStorm is a low-code enterprise graph machine learning (ML) framework that provides ML practitioners a simple way of building, training, and deploying graph ML solutions on industry-scale graph data. We encourage ML practitioners working with large graph data to try GraphStorm.

AWS 113

AWS Python ML ML 113

Towards AI

DECEMBER 10, 2023

The previous parts of this blog series demonstrated how to build an ML application that takes a YouTube video URL as input, transcribes the video, and distills the content into a concise and coherent executive summary. Before proceeding, you may want to have a look at the resulting demo or the code hosted on Hugging Face U+1F917 Spaces.

AI 102

AI AI ML ML 102

Data Science Dojo

JULY 17, 2023

It is used for machine learning, natural language processing, and computer vision tasks. Scikit-learn Scikit-learn is an open-source machine learning library for Python. It is one of the most popular machine learning libraries in the world, and it is used by a wide range of businesses and organizations.

Data Analysis 195

Data Analysis Data Analysis Tableau Machine Learning 195

AWS Machine Learning Blog

JANUARY 29, 2025

Watch this video demo for a step-by-step guide. Once you are ready to import the model, use this step-by-step video demo to help you get started. Raj specializes in Machine Learning with applications in Generative AI, Natural Language Processing, Intelligent Document Processing, and MLOps.

AWS 135

AWS ML ML AI 135

Towards AI

NOVEMBER 18, 2024

Fun fact: I once won a machine learning competition two years ago using Bard (now rebranded as Gemini) because everyone else was using ChatGPT. Coder Demo – a Hugging Face Space by Qwen Discover amazing ML apps made by the community huggingface.co To be honest, Gemini is in a different league altogether.

Python 105

Python Machine Learning Machine Learning ML 105

AWS Machine Learning Blog

FEBRUARY 19, 2024

Model server overview A model server is a software component that provides a runtime environment for deploying and serving machine learning (ML) models. The primary purpose of a model server is to allow effortless integration and efficient deployment of ML models into production systems. For MMEs, each model.py

ML 132

ML ML AWS Deep Learning 132

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.

ML 123

ML ML AWS Data Warehouse 123

DataRobot Blog

JANUARY 17, 2023

Recently, a prospective customer asked me how I reconcile the fact that DataRobot has multiple very successful investment banks using DataRobot to enhance the P&L of their trading businesses with my comments that machine learning models aren’t always great at predicting financial asset prices.

Machine Learning 87

Machine Learning Machine Learning Data Scientist ML 87

Flipboard

APRIL 24, 2025

The demo code is available in the GitHub repository. About the authors Renuka Kumar is a Senior Engineering Technical Lead at Cisco, where she has architected and led the development of Ciscos Cloud Security BUs AI/ML capabilities in the last 2 years, including launching first-to-market innovations in this space.

SQL 152

SQL Database AWS ML 152

Flipboard

APRIL 23, 2025

The high-level steps are as follows: For our demo , we use a web application UI built using Streamlit. About the authors Praveen Chamarthi brings exceptional expertise to his role as a Senior AI/ML Specialist at Amazon Web Services, with over two decades in the industry. Dhawal Patel is a Principal Machine Learning Architect at AWS.

AWS 151

AWS ML ML AI 151

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.

Machine Learning 98

Machine Learning Machine Learning AWS ML 98

AWS Machine Learning Blog

OCTOBER 21, 2024

For this example, we take a sample context and add to demo the concept: input_output_demarkation_key = "nn### Response:n" question = "Tell me what was the improved inflow value of cash?" He has earned the title of one of the Youngest Indian Master Inventors with over 500 patents in the AI/ML and IoT domains.

AWS 143

AWS AI AI ML 143

Flipboard

JANUARY 9, 2025

They provide various documents (including PAN and Aadhar) and a loan amount as part of the KYC After the documents are uploaded, theyre automatically processed using various artificial intelligence and machine learning (AI/ML) services. He builds demos and proofs of concept to demonstrate the possibilities of AWS Cloud.

AWS 160

AWS Machine Learning Machine Learning AI 160

AWS Machine Learning Blog

MARCH 19, 2025

Implementation details and demo setup in an AWS account As a prerequisite, we need to make sure that we are working in an AWS Region with Amazon Bedrock support for the foundation model (here, we use Anthropics Claude 3.5 For this demo setup, we describe the manual steps taken in the AWS console.

AWS 117

AWS AI AI Cloud Computing 117

Hacker News

JULY 18, 2024

ABOUT EVENTUAL Eventual is a data platform that helps data scientists and engineers build data applications across ETL, analytics and ML/AI. Eventual and Daft bridge that gap, making ML/AI workloads easy to run alongside traditional tabular workloads. This is more compute than Frontier, the world's largest supercomputer!

ML 127

ML ML Python ETL 127

The MLOps Blog

JUNE 27, 2023

How to evaluate MLOps tools and platforms Like every software solution, evaluating MLOps (Machine Learning Operations) tools and platforms can be a complex task as it requires consideration of varying factors. For example, if you use AWS, you may prefer Amazon SageMaker as an MLOps platform that integrates with other AWS services.

Machine Learning 134

Machine Learning Machine Learning ML ML 134

AWS Machine Learning Blog

OCTOBER 31, 2024

By integrating human annotators with machine learning, SageMaker Ground Truth significantly reduces the cost and time required for data labeling. He focuses on building and maintaining scalable AI/ML products, like Amazon SageMaker Ground Truth and Amazon Bedrock Model Evaluation.

AWS 120

AWS Natural Language Processing ML ML 120

AWS Machine Learning Blog

JUNE 7, 2023

You can now retrain machine learning (ML) models and automate batch prediction workflows with updated datasets in Amazon SageMaker Canvas , thereby making it easier to constantly learn and improve the model performance and drive efficiency. Build ML models and analyze their performance metrics.

ML 96

ML ML Machine Learning Machine Learning 96

AWS Machine Learning Blog

OCTOBER 23, 2024

The following demo shows Agent Creator in action. At its core, Amazon Bedrock provides the foundational infrastructure for robust performance, security, and scalability for deploying machine learning (ML) models. Dhawal Patel is a Principal Machine Learning Architect at AWS.

AI 93

AI AI AWS Database 93

Dataconomy

JUNE 16, 2023

The cloud DLP solution from Gamma AI has the highest data detection accuracy in the market and comes packed with ML-powered data classification profiles. For a free initial consultation call, you can email sales@gammanet.com or click “Request a Demo” on the Gamma website ([link] Go to the Gamma.AI How to use Gamme AI?

AI 193

AI AI Natural Language Processing Data Classification 193

Towards AI

JUNE 25, 2024

As a Python user, I find the {pySpark} library super handy for leveraging Spark’s capacity to speed up data processing in machine learning projects. This practice vastly enhances the speed of my data preparation for machine learning projects. We will use this table to demo and test our custom functions. distinct().count()

ML 75

ML ML EDA Data Wrangling 75

AWS Machine Learning Blog

APRIL 11, 2023

Developing web interfaces to interact with a machine learning (ML) model is a tedious task. With Streamlit , developing demo applications for your ML solution is easy. Streamlit is an open-source Python library that makes it easy to create and share web apps for ML and data science. sh setup.sh

ML 102

ML ML AWS Data Scientist 102

AWS Machine Learning Blog

APRIL 19, 2023

Since 2018, our team has been developing a variety of ML models to enable betting products for NFL and NCAA football. These models are then pushed to an Amazon Simple Storage Service (Amazon S3) bucket using DVC, a version control tool for ML models. Thirdly, there are improvements to demos and the extension for Spark.

ML 98

ML ML Deep Learning Deep Learning 98

AWS Machine Learning Blog

OCTOBER 22, 2024

Business challenge Businesses today face numerous challenges in effectively implementing and managing machine learning (ML) initiatives. Additionally, organizations must navigate cost optimization, maintain data security and compliance, and democratize both ease of use and access of machine learning tools across teams.

Clustering 94

Clustering ML ML AWS 94