Snorkel AI

JUNE 2, 2023

As users integrate more sources of knowledge, the platform enables them to rapidly improve training data quality and model performance using integrated error analysis tools. Learn more See what Snorkel can do to accelerate your data science and machine learning teams. Book a demo today.

Machine Learning 52

Machine Learning Large Language Models Data Science ML 52

Snorkel AI

JUNE 2, 2023

As users integrate more sources of knowledge, the platform enables them to rapidly improve training data quality and model performance using integrated error analysis tools. Learn more See what Snorkel can do to accelerate your data science and machine learning teams. Book a demo today.

Machine Learning 52

Machine Learning Large Language Models Data Science ML 52

AWS Machine Learning Blog

APRIL 21, 2023

See the following code: # Configure the Data Quality Baseline Job # Configure the transient compute environment check_job_config = CheckJobConfig( role=role_arn, instance_count=1, instance_type="ml.c5.xlarge", These are key files calculated from raw data used as a baseline.

Data Drift 74

Data Drift Metadata Data Quality ML 74

Pickl AI

NOVEMBER 3, 2023

Click here to know more about how one can unleash the power of AI and ML for scaling operations and data quality. Back Testing Strategies: Use past data to evaluate and refine your AI-driven trading strategy. Start with a Demo: To get experience without risking real money, start with a demo account on AI platforms.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Algorithm AI 52

Snorkel AI

JANUARY 26, 2024

Representation models encode meaningful features from raw data for use in classification, clustering, or information retrieval tasks. Trung walked the audience through techniques and best practices for fine-tuning representation models, emphasizing the importance of data quality and augmentation. Book a demo today.

LLM 64

LLM Large Language Models Explainability Data Science 64

Snorkel AI

FEBRUARY 8, 2023

Data science and machine learning teams use Snorkel Flow’s programmatic labeling to intelligently capture knowledge from various sources—such as previously labeled data (even when imperfect), heuristics from subject matter experts, business logic, and even the latest foundation models —and then scale this knowledge to label large quantities of data.

Auto-complete 52

Auto-complete Data Quality Machine Learning Data Science 52

Snorkel AI

FEBRUARY 8, 2023

Data science and machine learning teams use Snorkel Flow’s programmatic labeling to intelligently capture knowledge from various sources—such as previously labeled data (even when imperfect), heuristics from subject matter experts, business logic, and even the latest foundation models —and then scale this knowledge to label large quantities of data.

Auto-complete 52

Auto-complete Data Quality Machine Learning Data Science 52

Snorkel AI

OCTOBER 4, 2023

Snorkel’s data-centric approach and user-friendly platform can vastly simplify the training and deployment of credit-scoring models. Snorkel makes it easy to improve training data quality, build custom AI apps, and distill their predictive power into production-ready mini-models. Book a demo today.

AI 64

AI AI Data Scientist Neural Network 64

Snorkel AI

OCTOBER 4, 2023

Snorkel’s data-centric approach and user-friendly platform can vastly simplify the training and deployment of credit-scoring models. Snorkel makes it easy to improve training data quality, build custom AI apps, and distill their predictive power into production-ready mini-models. Book a demo today.

AI 59

AI AI Data Scientist Neural Network 59

ODSC - Open Data Science

APRIL 3, 2023

Skills like effective verbal and written communication will help back up the numbers, while data visualization (specific frameworks in the next section) can help you tell a complete story. Data Wrangling: Data Quality, ETL, Databases, Big Data The modern data analyst is expected to be able to source and retrieve their own data for analysis.

Big Data 52

Big Data ETL Data Science Deep Learning 52

Snorkel AI

JANUARY 26, 2024

Representation models encode meaningful features from raw data for use in classification, clustering, or information retrieval tasks. Trung walked the audience through techniques and best practices for fine-tuning representation models, emphasizing the importance of data quality and augmentation. Book a demo today.

LLM 52

LLM Large Language Models Explainability Data Science 52

Snorkel AI

MARCH 14, 2023

Users are able to rapidly improve training data quality and model performance using integrated error analysis and model-guided feedback to develop highly accurate and adaptable AI applications. Schedule a custom demo tailored to your use case with our ML experts today.

Data Scientist 52

Data Scientist Data Drift AI AI 52

Snorkel AI

MARCH 14, 2023

Users are able to rapidly improve training data quality and model performance using integrated error analysis and model-guided feedback to develop highly accurate and adaptable AI applications. Schedule a custom demo tailored to your use case with our ML experts today.

Data Scientist 52

Data Scientist Data Drift AI AI 52

Pickl AI

APRIL 26, 2024

I break down the problem into smaller manageable tasks, define clear objectives, gather relevant data, apply appropriate analytical techniques, and iteratively refine the solution based on feedback and insights. Describe a situation where you had to think creatively to solve a data-related challenge. 24/7 support and career guidance.

Data Analysis 52

Data Analysis Machine Learning ETL Explainability 52

Snorkel AI

FEBRUARY 2, 2023

The label model outputs a large, probabilistic training data set that the platform can use to train a full ML model, which generalizes beyond the label model. Step 3: Train a model to understand data quality and model performance Now, we’re going to go ahead and train a model from the model zoo.

Auto-classification 52

Auto-classification Software Engineer Neural Network Machine Learning 52

Snorkel AI

FEBRUARY 2, 2023

The label model outputs a large, probabilistic training data set that the platform can use to train a full ML model, which generalizes beyond the label model. Step 3: Train a model to understand data quality and model performance Now, we’re going to go ahead and train a model from the model zoo.

Auto-classification 52

Auto-classification Software Engineer Neural Network Machine Learning 52

Viso.ai

JANUARY 30, 2024

It enables enterprises to create and implement computer vision solutions , featuring built-in ML tools for data collection, annotation, and model training. Learn more about Viso Suite and book a demo. Going through the data with a fine-toothed comb is often what’s called for. 6: Data Drift What is Data Drift?

Data Drift 52

Data Drift Machine Learning Computer Vision Algorithm 52

Viso.ai

JANUARY 4, 2024

Get a demo. This is seen with a higher overhead in terms of training data quality (and quantity), an increased complexity of implementation, and additional computational cost. About Us: Viso Suite is the no-code, end-to-end platform that enables businesses to use real-world computer vision. What is Segmentation?

Computer Vision 52

Computer Vision Convolutional Neural Networks Deep Learning Neural Network 52

Viso.ai

DECEMBER 18, 2023

Organizations can easily source data to promote the development, deployment, and scaling of their computer vision applications. Get a demo. Viso Suite is the End-to-End, No-Code Computer Vision Platform – Learn more What is Synthetic Data? Data anonymization and privacy depicted through intelligent face-blurring.

Computer Vision 52

Computer Vision Neural Network Auto-complete Data Scarcity 52

AWS Machine Learning Blog

DECEMBER 15, 2023

Add a new Amazon DocumentDB connection by choosing Import data , then choose Tabular for Dataset type. On the Import data page, for Data Source , choose DocumentDB and Add Connection. Enter a connection name such as demo and choose your desired Amazon DocumentDB cluster. Enter a user name, password, and database name.

Machine Learning 88

Machine Learning Data Quality ML Generative AI 88

Snorkel AI

JULY 19, 2023

But this approach is expensive, time-consuming, and out of reach for all but the most well-funded companies, making the use of free, open-source alternatives for data curation appealing if sufficiently high data quality can be achieved. Book a demo today.

Categorization 52

Categorization ChatGPT Large Language Models Generative AI 52

Snorkel AI

JULY 19, 2023

But this approach is expensive, time-consuming, and out of reach for all but the most well-funded companies, making the use of free, open-source alternatives for data curation appealing if sufficiently high data quality can be achieved. Book a demo today.

Categorization 52

Categorization ChatGPT Large Language Models Generative AI 52

IBM Journey to AI blog

DECEMBER 7, 2023

Automated data preparation and cleansing : AI-powered data preparation tools will automate data cleaning, transformation and normalization, reducing the time and effort required for manual data preparation and improving data quality.

Data Analysis 158

Data Analysis AI AI Automation 158

Snorkel AI

JULY 19, 2023

But this approach is expensive, time-consuming, and out of reach for all but the most well-funded companies, making the use of free, open-source alternatives for data curation appealing if sufficiently high data quality can be achieved. Book a demo today.

Categorization 40

Categorization ChatGPT Large Language Models Generative AI 40

The MLOps Blog

JUNE 27, 2023

” – James Tu, Research Scientist at Waabi Play with this project live For more: Dive into documentation Get in touch if you’d like to go through a custom demo with your team Comet ML Comet ML is a cloud-based experiment tracking and optimization platform. Data monitoring tools help monitor the quality of the data.

Machine Learning 134

Machine Learning Metadata Data Quality Data Scientist 134

IBM Journey to AI blog

MARCH 14, 2024

Businesses face significant hurdles when preparing data for artificial intelligence (AI) applications. The existence of data silos and duplication, alongside apprehensions regarding data quality, presents a multifaceted environment for organizations to manage.

ETL 208

ETL AI AI Metadata 208

ODSC - Open Data Science

FEBRUARY 28, 2023

We couldn’t be more excited to announce our first group of partners for ODSC East 2023’s AI Expo and Demo Hall. These organizations are shaping the future of the AI and data science industries with their innovative products and services. Check them out below.

Data Science 96

Data Science Auto-complete Machine Learning AI 96

Snorkel AI

JANUARY 31, 2023

Users are able to rapidly improve training data quality and model performance using integrated error analysis and model-guided feedback to develop highly accurate and adaptable AI applications. If this sounds interesting, please reach out to request a demo with a member of our team.

Data Drift 52

Data Drift Explainability AI AI 52

Snorkel AI

JANUARY 31, 2023

Users are able to rapidly improve training data quality and model performance using integrated error analysis and model-guided feedback to develop highly accurate and adaptable AI applications. If this sounds interesting, please reach out to request a demo with a member of our team.

Data Drift 52

Data Drift Explainability AI AI 52

Sebastian Ruder

JUNE 6, 2022

Quality at a Glance: An Audit of Web-Crawled Multilingual Datasets (Kreutzer et al.). It conducts a careful audit of large-scale multilingual datasets covering 70 languages and identifies many data quality issues that have previously gone unnoticed. I wrote about this paper when it first came out.

NLP 52

NLP Natural Language Processing Computational Linguistics Neural Network 52

Snorkel AI

OCTOBER 27, 2023

Instead of exclusively relying on a singular data development technique, leverage a variety of techniques such as promoting, RAG, and fine-tuning for the most optimal outcome. Focus on improving data quality and transforming manual data development processes into programmatic operations to scale fine-tuning.

LLM 69

LLM Data Scientist Machine Learning Large Language Models 69

Snorkel AI

OCTOBER 27, 2023

Instead of exclusively relying on a singular data development technique, leverage a variety of techniques such as promoting, RAG, and fine-tuning for the most optimal outcome. Focus on improving data quality and transforming manual data development processes into programmatic operations to scale fine-tuning.

LLM 59

LLM Data Scientist Machine Learning Large Language Models 59

Snorkel AI

JANUARY 24, 2023

Data science and machine learning teams use Snorkel Flow’s programmatic labeling to intelligently capture knowledge from various sources such as previously labeled data (even when imperfect), heuristics from subject matter experts, business logic, and even the latest foundation models, then scale this knowledge to label large quantities of data.

Data Ingestion 52

Data Ingestion AI AI Machine Learning 52

Snorkel AI

JANUARY 24, 2023

Data science and machine learning teams use Snorkel Flow’s programmatic labeling to intelligently capture knowledge from various sources such as previously labeled data (even when imperfect), heuristics from subject matter experts, business logic, and even the latest foundation models, then scale this knowledge to label large quantities of data.

Data Ingestion 52

Data Ingestion AI AI Machine Learning 52

O'Reilly Media

NOVEMBER 28, 2023

Few nonusers (2%) report that lack of data or data quality is an issue, and only 1.3% AI users are definitely facing these problems: 7% report that data quality has hindered further adoption, and 4% cite the difficulty of training a model on their data.

Generative AI 108

Generative AI AI AI Data Analysis 108

DataRobot Blog

DECEMBER 15, 2022

If your dataset is not in time order (time consistency is required for accurate Time Series projects), DataRobot can fix those gaps using the DataRobot Data Prep tool , a no-code tool that will get your data ready for Time Series forecasting. Prepare your data for Time Series Forecasting.

Machine Learning 81

Machine Learning AI AI Data Drift 81

Viso.ai

MAY 14, 2024

Such image fusion will provide higher reliability, accuracy, and data quality. Get a demo here. In many computer vision applications (e.g. robot motion and medical imaging) there is a need to integrate relevant information from multiple images into a single image.

Computer Vision 52

Computer Vision Robotics Convolutional Neural Networks Neural Network 52