AI News, What is Machine Learning?

What is Machine Learning?

Machine learning is a data science technique that allows computers to use existing data to forecast future behaviors, outcomes, and trends.

You can use tens of thousands of open source Python packages, such as the following machine learning frameworks: You can execute your experiments in managed environments such as Docker containers and Spark clusters.

They are battle-tested in many Microsoft products, such as: The following are some of the Microsoft machine learning technologies included with Azure Machine Learning: Azure Machine Learning Workbench is a desktop application plus command-line tools, supported on both Windows and macOS.

It allows you to manage machine learning solutions through the entire data science life cycle: Here are the core functionalities offered by Azure Machine Learning Workbench: For more information, reference the following articles: The Experimentation Service handles the execution of machine learning experiments.

Through easy configuration, you can execute your experiments across a range of compute environment options: The Experimentation Service constructs virtual environments to ensure that your script can be executed in isolation with reproducible results.

It enables you to quickly create powerful, highly scalable predictive, and analytical models for large image and text datasets.

It features many integration points with Azure Machine Learning, including: Besides Azure Machine Learning, there are a wide variety of options in Azure to build, deploy, and manage machine learning models.

First look at What’s New in Azure Machine Learning

Take in the huge set of capabilities announced at Ignite for the next generation of the Azure Machine Learning platform. Build and deploy ML applications in the ...

Operationalize your models with Azure Machine Learning - BRK2290

This is the introduction to the new Azure ML features.

Machine learning models + IoT data = a smarter world (Google I/O '18)

With the IoT market set to triple in size by 2020, and massive increases in computing power on small devices, the intersection of IoT and machine learning is a ...

Introduction to Azure Machine Learning | AI7

This session will feature the Azure Machine Learning capabilities, digging into how these services and tools make it easier for developers and data scientists to ...

Shawn Scully: Production and Beyond: Deploying and Managing Machine Learning Models

PyData NYC 2015 Machine learning has become the key component in building intelligence-infused applications. However, as companies increase the number ...

Azure Machine Learning

Take a look at updates to machine learning and artificial intelligence with the Azure machine learning workbench. Senior PM Manager for Microsoft Cloud, ...

Data modeling and Business Intelligence in Azure

A complete tour of data ingestion, modeling and BI options with Azure. We'll explore the services Azure offers to help you model and visualize your data for ...

What's new with Azure Machine Learning : Build 2018

In September, we launched a huge set of updates for Azure Machine Learning to let you manage the end to end lifecycle of Machine Learning Development.

Running Agile Data Science Teams | Data Dialogs 2015

John Akred, Silicon Valley Data Science What's the best way to pursue ..

Managing Secrets for Azure Apps

Every serious app you deploy on Azure has critical secrets – connection strings, certificates, keys. Silly mistakes in managing these lead to fatal consequences ...