Azure Archives

Azure

Data Stewardship in an AI-Driven Ecosystem: Introducing WhiteNoise

Guest contributor Modeling Azure Microsoftposted by ODSC Community May 29, 2020

WhiteNoise is the newly available Differential Privacy System by OpenDP. The intent of Differential Privacy is to preserve the security of personally identifiable information & prevent against database reconstruction attacks. The methods provided by the WhiteNoise system are part of a toolkit that enables researchers to... Read more

Accelerating Model Training with the ONNX Runtime

Featured Post Azure ONNXposted by ODSC Community May 21, 2020

TDLR; This article introduces the new improvements to the ONNX runtime for accelerated training and outlines the 4 key steps for speeding up training of an existing PyTorch model with the ONNX Runtime (ORT). What is the ONNX Runtime (ORT)? ONNX Runtime is a performance-focused inference engine... Read more

How to Assess AI Systems’ Fairness and Mitigate Any Observed Unfairness Issues

Featured Post Azure Fairlearn Microsoftposted by ODSC Community May 19, 2020

This article discusses how we can assess AI systems’ fairness. As we are leveraging data for making significant decisions that affect individual lives in domains such as health care, justice, finance, education, marketing, and employment, it is important to ensure the safe, ethical, and responsible use... Read more

Tutorial: Accelerate and Productionize ML Model Inferencing Using Open-Source Tools

Blogs from ODSC Speakers Conferences Machine Learning Modeling Azure East 2020 Inferencing Microsoft ONNXposted by ODSC Community March 6, 2020

You’ve finally got that perfect trained model for your data set. Now what? To run and deploy it to production, there’s a host of issues that lie ahead. Performance latency, environments, framework compatibility, security, deployment targets…there are lots to consider! This tutorial will show you how... Read more

Introduction to Apache Airflow

Blogs from ODSC Speakers Conferences Machine Learning Modeling Apache Airflow Azure Workflowposted by ODSC Community February 24, 2020

Apache Airflow is a tool created by the community to programmatically author, schedule, and monitor workflows. The biggest advantage of Airflow is the fact that it does not limit the scope of pipelines. Airflow can be used for building Machine Learning models, transferring data, or managing... Read more

Training and Operationalizing Interpretable Machine Learning Models

Machine Learning Modeling Azure East 2020 Microsoftposted by ODSC Community February 21, 2020

AI offers companies the unique opportunity to transform their operations: from AI applications able to predict and schedule equipment’s maintenance, to intelligent R&D applications able to estimate the success of future drugs. However, in order to be able to leverage this opportunity, companies have to learn... Read more

7 Top Data Science Trends in 2020 to Be Excited About

Career Insights Featured Post 2020 AutoML Azure Cloud explainable AI NLP Pythonposted by Daniel Gutierrez, ODSC January 31, 2020

As a practicing data scientist, educator, and tech journalist, I automatically have three big motivations for keeping a constant pulse of the industry. Staying in tune with what’s happening, consuming all the news from the movers and shakers, and evaluating new and updated tools as they... Read more

Top Data Science Skills for 2020

Career Insights Featured Post Azure data science skillsposted by Daniel Gutierrez, ODSC January 9, 2020

Data Science is an increasingly competitive field and participants are constantly working hard to build more levels of skill and experience. This trend has given rise to ever more demanding job descriptions for the position. To stay competitive, it makes sense to prepare yourself for new... Read more

Deep Learning Frameworks You Need to Know in 2020

Deep Learning Modeling 2020 Azure chainer Keras microsoft cognitive toolkit mxnet PyTorch Spark TensorFlowposted by Elizabeth Wallace, ODSC December 30, 2019

Deep learning networks have a mind-boggling ability to learn, so training these models requires massive computing power and intense amounts of data. You’ll need a framework to make that development easier. Deep learning requires massive processing power and lots of data. Because it uses unstructured, often non-text... Read more

Interoperable AI: High-Performance Inferencing of ML and DNN Models

Blogs from ODSC Speakers Conferences Machine Learning Modeling Azure Europe 2019 Interoperable AIposted by ODSC Team September 10, 2019

TensorFlow? PyTorch? Keras? There are many popular frameworks to choose from when working with deep learning and machine learning models, each with its own pros and cons for practical usability in product development or research. Once you decide which to use to train your model, you... Read more