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Extend your TFX pipeline with TFX-Addons noreply@blogger.com (TensorFlow Blog) The TensorFlow Blog

​ Posted by Hannes Hapke and Robert Crowe To produce production-level machine learning models, TensorFlow provides a portfolio of libraries under the umbrella of TensorFlow Extended (TFX). With just a pip install, TFX already includes a number of versatile pipeline components – referred to as… Read More »Extend your TFX pipeline with TFX-Addons noreply@blogger.com (TensorFlow Blog) The TensorFlow Blog

Amazon SageMaker Automatic Model Tuning now supports three new completion criteria for hyperparameter optimization Doug Mbaya AWS Machine Learning Blog

​ Amazon SageMaker has announced the support of three new completion criteria for Amazon SageMaker automatic model tuning, providing you with an additional set of levers to control the stopping criteria of the tuning job when finding the best hyperparameter configuration for your model. In this post,… Read More »Amazon SageMaker Automatic Model Tuning now supports three new completion criteria for hyperparameter optimization Doug Mbaya AWS Machine Learning Blog

Vietnam’s VinBrain Deploys Healthcare AI Models to 100+ Hospitals Renee Yao – Archives Page 1 | NVIDIA Blog

​ Doctors rarely make diagnoses based on a single factor — they look at a mix of data types, such as a patient’s symptoms, laboratory and radiology reports, and medical history. VinBrain, a Vietnam-based health-tech startup, is ensuring that AI diagnostics can take a similarly… Read More »Vietnam’s VinBrain Deploys Healthcare AI Models to 100+ Hospitals Renee Yao – Archives Page 1 | NVIDIA Blog

Designing Data: Proactive Data Collection and Iteration for Machine Learning Apple Machine Learning Research

​Lack of diversity in data collection has caused significant failures in machine learning (ML) applications. While ML developers perform post-collection interventions, these are time intensive and rarely comprehensive. Thus, new methods to track and manage data collection, iteration, and model training are necessary for evaluating… Read More »Designing Data: Proactive Data Collection and Iteration for Machine Learning Apple Machine Learning Research

AI Joins Hunt for ET: Study Finds 8 Potential Alien Signals Brian Caulfield – Archives Page 1 | NVIDIA Blog

​ Artificial intelligence is now a part of the quest to find extraterrestrial life. Researchers have developed an AI system that outperforms traditional methods in the search for alien signals. And early results were intriguing enough to send scientists back to their radio telescopes for… Read More »AI Joins Hunt for ET: Study Finds 8 Potential Alien Signals Brian Caulfield – Archives Page 1 | NVIDIA Blog

Training a Custom Image Classification Network for OAK-D Aditya Sharma PyImageSearch

​ Table of Contents Training a Custom Image Classification Network for OAK-D Configuring Your Development Environment Having Problems Configuring Your Development Environment? Project Structure The Vegetable Image Dataset Data Analysis Configuring the Prerequisites Defining the Utilities The Image Classification Network Training Accuracy and Loss Plots:… Read More »Training a Custom Image Classification Network for OAK-D Aditya Sharma PyImageSearch

Microsoft named a Leader in the IDC MarketScape: Worldwide MLOps Platforms 2022 Vendor Assessment Olivia Shone Microsoft Azure Blog > Machine Learning

​ We’re excited to share that Microsoft has been recognized as a Leader in the IDC MarketScape Worldwide Machine Learning Operations (MLOps) Platforms 2022 Vendor Assessment. Microsoft holds a deep understanding of MLOps market trends, strong customer adoption, broad partner ecosystem, and continued product investments in… Read More »Microsoft named a Leader in the IDC MarketScape: Worldwide MLOps Platforms 2022 Vendor Assessment Olivia Shone Microsoft Azure Blog > Machine Learning