ODSC - Open Data Science

APRIL 17, 2023

H2O AutoML: A powerful tool for automating much of the more tedious and time-consuming aspects of machine learning, H2O AutoML provides the user(s) with a set of algorithms and tools to automate the entirety of the machine learning workflow. Auto-ViML : Like PyCaret, Auto-ViML is an open-source machine learning library in Python.

Data Science 59

Data Science Auto-classification Machine Learning Data Scientist 59

AWS Machine Learning Blog

NOVEMBER 22, 2023

Operational excellence in IDP means applying the principles of robust software development and maintaining a high-quality customer experience to the field of document processing, while consistently meeting or surpassing service level agreements (SLAs). This post focuses on the Operational Excellence pillar of the IDP solution.

IDP 103

IDP Data Extraction Auto-classification Machine Learning 103

AWS Machine Learning Blog

JUNE 23, 2023

Amazon SageMaker Data Wrangler is a single visual interface that reduces the time required to prepare data and perform feature engineering from weeks to minutes with the ability to select and clean data, create features, and automate data preparation in machine learning (ML) workflows without writing any code. Enter a name for your endpoint.

Auto-complete 82

Auto-complete Auto-classification ML Data Quality 82

AWS Machine Learning Blog

OCTOBER 8, 2024

In this blog post, we explore a comprehensive approach to time series forecasting using the Amazon SageMaker AutoMLV2 Software Development Kit (SDK). SageMaker AutoMLV2 is part of the SageMaker Autopilot suite, which automates the end-to-end machine learning workflow from data preparation to model deployment.

Machine Learning 90

Machine Learning Auto-complete Auto-classification Metadata 90

AWS Machine Learning Blog

NOVEMBER 14, 2024

It also helps achieve data, project, and team isolation while supporting software development lifecycle best practices. It’s a binary classification problem where the goal is to predict whether a customer is a credit risk. After you have completed the data preparation step, it’s time to train the classification model.

ML 84

ML Auto-complete Machine Learning Auto-classification 84

AWS Machine Learning Blog

JULY 31, 2023

In this post, we show how a business analyst can evaluate and understand a classification churn model created with SageMaker Canvas using the Advanced metrics tab. Cost-sensitive classification – In some applications, the cost of misclassification for different classes can be different.

Auto-classification 87

Auto-classification Machine Learning Auto-complete ML 87

Snorkel AI

FEBRUARY 27, 2023

This is a platform that supports this new data-centric development loop. It’s this fast, iterative process that begins to look more like software development (no code, or via code) rather than what ML often looks like today, which is waiting weeks or months manually labeling datasets for every single turn of the crank.

Machine Learning 52

Machine Learning AI AI Large Language Models 52