AWS Machine Learning Blog

JUNE 3, 2024

In a single visual interface, you can complete each step of a data preparation workflow: data selection, cleansing, exploration, visualization, and processing. Custom Spark commands can also expand the over 300 built-in data transformations. Complete the following steps: Choose Prepare and analyze data.

Generative AI 110

Generative AI Categorization Auto-complete Auto-classification 110

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. These tools are designed to help companies derive insights from big data.

Data Science 96

Data Science Auto-complete Machine Learning AI 96

The MLOps Blog

JUNE 27, 2023

Can you see the complete model lineage with data/models/experiments used downstream? It enables data scientists to log, compare, and visualize experiments, track code, hyperparameters, metrics, and outputs. Is it accessible from your language/framework/infrastructure, framework, or infrastructure? Can you render audio/video?

Machine Learning 134

Machine Learning Metadata Data Scientist Data Quality 134

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

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? 1: Variational Auto-Encoder. Technique No.1:

Computer Vision 52

Computer Vision Neural Network Auto-complete Data Scarcity 52

AWS Machine Learning Blog

APRIL 17, 2023

SageMaker LMI containers includes model download optimization by using the s5cmd library to speed up the model download time and container startup times, and eventually speed up auto scaling on SageMaker. A complete example that illustrates the no-code option can be found in the following notebook.

Prompt Engineering 93

Prompt Engineering Prompt Engineer Deep Learning Machine Learning 93