ODSC - Open Data Science

FEBRUARY 28, 2023

Going from Data to Insights LexisNexis At HPCC Systems® from LexisNexis® Risk Solutions you’ll find “a consistent data-centric programming language, two processing platforms, and a single, complete end-to-end architecture for efficient processing.” These tools are designed to help companies derive insights from big data.

Data Science 96

Data Science Auto-complete Machine Learning AI 96

AWS Machine Learning Blog

MAY 3, 2023

Each business problem is different, each dataset is different, data volumes vary wildly from client to client, and data quality and often cardinality of a certain column (in the case of structured data) might play a significant role in the complexity of the feature engineering process.

Auto-classification 101

Auto-classification Auto-complete Machine Learning Metadata 101

Towards AI

SEPTEMBER 27, 2023

This blog post will focus on key questions related to Experiments, Model Training, and evaluation and explore how AWS SageMaker can help address them. ▢ [Automation] How can data scientists automatically partition the data for training, validation, and testing purposes?▢ Source: Image by the author. Source: Image by the author.

Data Scientist 64

Data Scientist Auto-complete Automation Algorithm 64

AWS Machine Learning Blog

JULY 31, 2023

A perfect F1 score of 1 indicates that the model has achieved both perfect precision and perfect recall, and a score of 0 indicates that the model’s predictions are completely wrong. Finally, when it’s complete, the pane will show a list of columns with its impact on the model.

Auto-classification 98

Auto-classification Machine Learning ML Auto-complete 98

Viso.ai

DECEMBER 18, 2023

Generation With Neural Network Techniques Neural Networks are the most advanced techniques of automated data generation. They can handle much richer data distributions than traditional algorithms, such as decision trees. Neural networks can also synthesize unstructured data like images and video. Technique No.1:

Computer Vision 52

Computer Vision Neural Network Auto-complete Data Scarcity 52

The MLOps Blog

JULY 18, 2023

It’s an automated chief of staff that automates conversational tasks. We are aiming to automate that functionality so that every worker in an organization can have access to that help, just like a CEO or someone else in the company would. How do you ensure data quality when building NLP products?

Conversational AI 52

Conversational AI Natural Language Processing Machine Learning AI 52

AWS Machine Learning Blog

NOVEMBER 14, 2024

It includes processes for monitoring model performance, managing risks, ensuring data quality, and maintaining transparency and accountability throughout the model’s lifecycle. Following are the steps completed by using APIs to create and share a model package group across accounts. In Account A, create a model package group.

ML 104

ML Machine Learning Auto-complete Auto-classification 104

Unite.AI

JANUARY 22, 2025

Saket Saurabh , CEO and Co-Founder of Nexla, is an entrepreneur with a deep passion for data and infrastructure. He is leading the development of a next-generation, automated data engineering platform designed to bring scale and velocity to those working with data. Auto generation: Integration and GenAI are both hard.

Auto-complete 147

Auto-complete Automation Machine Learning Data Integration 147

AWS Machine Learning Blog

AUGUST 15, 2024

Amazon SageMaker Canvas now empowers enterprises to harness the full potential of their data by enabling support of petabyte-scale datasets. Starting today, you can prepare your petabyte-scale data and explore many ML models with AutoML by chat and with a few clicks. Enter the S3 URI for the file and choose Go , then choose Next.

ML 125

ML Generative AI Auto-complete Data Quality 125