Student and Faculty Guide – 10 easy steps to get up and running with Azure Machine Learning

#artificialintelligence

My colleague Amy Nicholson is the UK expert on Azure Machine Learning, the following blog post is after a quizzing session to get understand how to get started with Azure Machine Learning" Each student receives $100 of Azure credit per month, for 6 months. The Faculty member receives $250 per month, for 12 months. The Azure machine learning team provided a very nice walkthrough tutorial which covers a lot of the basics. This tutorial is really useful as it takes you through the entire process of creating an AzureML workspace, uploading data, creating an experiment to predict someone's credit risk, building, training, and evaluating the models, publishing your best model as a web service, and calling that web service. Now you need to learn how to import a data set into Azure Machine Learning, and where to find interesting data to build something amazing.


Glossary of Machine Learning Terms

#artificialintelligence

ROC curves are widely used because they are relatively simple to understand and capture more than one aspect of the classification.


Student and Faculty Guide – 10 easy steps to get up and running with Azure Machine Learning

#artificialintelligence

My colleague Amy Nicholson is the UK expert on Azure Machine Learning, the following blog post is after a quizzing session to get understand how to get started with Azure Machine Learning" Each student receives $100 of Azure credit per month, for 6 months. The Faculty member receives $250 per month, for 12 months. The Azure machine learning team provided a very nice walkthrough tutorial which covers a lot of the basics. This tutorial is really useful as it takes you through the entire process of creating an AzureML workspace, uploading data, creating an experiment to predict someone's credit risk, building, training, and evaluating the models, publishing your best model as a web service, and calling that web service. Now you need to learn how to import a data set into Azure Machine Learning, and where to find interesting data to build something amazing.


The 5 Phases of Every Machine Learning Project – Blog

#artificialintelligence

Machine learning and predictive analytics are pervasive in our lives today. AI impacts nearly everything we do and interact with including retail and wholesale pricing, consumer habits and behaviors, marketing and advertising, politics, entertainment, sports, medicine, business logistics and planning, fraud and risk detection, airline and truck route planning, pricing strategy, gaming, AI speech recognition, AI image recognition, self-driving cars, and robotics.


Machine Learning Crash Course Google Developers

@machinelearnbot

Layers are Python functions that take Tensors and configuration options as input and produce other tensors as output. Once the necessary Tensors have been composed, the user can convert the result into an Estimator via a model function.