AWS Machine Learning Blog
OCTOBER 18, 2023
Purina used artificial intelligence (AI) and machine learning (ML) to automate animal breed detection at scale. The solution focuses on the fundamental principles of developing an AI/ML application workflow of data preparation, model training, model evaluation, and model monitoring.
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.
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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.
The MLOps Blog
FEBRUARY 27, 2023
2 The more interesting ones are the ones that don’t have the data science teams, or sometimes they don’t even have software developers in the way that they are companies that live in the 21st century. What’s your approach to different modalities of classification detection and segmentation?
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.
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.
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.
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