Getting started with using Visual Machine Learning Tools for building your Machine Learning Models
Machine learning is a technique that uses mathematics and statistics to create a model that can predict unknown values. In this session you explore machine learning and learn how to use the automated machine learning capability of Azure Machine Learning to train and deploy a predictive model.
Jupyter Experiences on Microsoft Azure
The Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and narrative text. Uses include: data cleaning and transformation, numerical simulation, statistical modeling, data visualization, machine learning, and much moreRunning JupyterHub on and off campus Architectural Scenarios
First published on MSDN on Aug 10, 2017 Dedicated Hardware Environments for hosting JupyterHubOn premise – Own Maintain, secure and Operate the servicesInstallationJupyterHub can be installed with pip (and the proxy with npm) or conda:pip, npm:python3 -m pip install jupyterhubnpm install -g configurable-http-proxypython3 -m pip install notebook # needed if running the notebook servers locallyconda (one command installs jupyterhub and proxy):conda install -c conda-forge jupyterhub # installs jupyterhub and proxyconda install notebook # needed if running the notebook servers locallyTest your installation.
