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Microsoft Azure Machine Learning Studio

Azure Machine Learning Studio is a GUI-based integrated development environment for constructing and operationalizing Machine Learning workflow on Azure.

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Microsoft Azure Machine Learning Studio | studio.azureml.net Reviews

https://studio.azureml.net

Azure Machine Learning Studio is a GUI-based integrated development environment for constructing and operationalizing Machine Learning workflow on Azure.

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http://zavaschi.com/index.php/2014/10/azureml-o-que-primeiros-passos

AzureML – O que é? Hoje o foco será a plataforma de Machine Learning na nuvem da Microsoft, conhecida como Azure Machine Learning (AzureML). Esta tecnologia (ainda em. Permite a construção de modelos de aprendizagem de máquina de maneira rápida e permite o acesso a estes modelos através da sua interface web ( http:/ studio.azureml.net. Ou através de API (webservices criados e expostos para seus modelos veremos em posts futuros). Mas o que é Aprendizagem de Máquina? Resumindo de maneira bem curta, aprendi...

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AzureML – Criando meu Primeiro Modelo – Parte 1. No meu último post. Comecei a escrever sobre aprendizagem de máquina na nuvem através do Azure Machine Learning. Hoje iniciaremos uma série sobre como criar nosso primeiro modelo de aprendizagem de máquina. Primeiramente devemos conhecer alguns conceitos importantes:. Outros conceitos importantes para a validação do modelo são Acurácia, Recall, Precisão, F1-Score, AUC. Veremos isso quando formos comparar modelos, mas já pode consultar no blog do Nogare.

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AzureML – Criando meu Primeiro Modelo – Parte 1. No meu último post. Comecei a escrever sobre aprendizagem de máquina na nuvem através do Azure Machine Learning. Hoje iniciaremos uma série sobre como criar nosso primeiro modelo de aprendizagem de máquina. Primeiramente devemos conhecer alguns conceitos importantes:. Outros conceitos importantes para a validação do modelo são Acurácia, Recall, Precisão, F1-Score, AUC. Veremos isso quando formos comparar modelos, mas já pode consultar no blog do Nogare.

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http://zavaschi.com/index.php/tag/machine-learning

AzureML – Criando meu Primeiro Modelo – Parte 1. No meu último post. Comecei a escrever sobre aprendizagem de máquina na nuvem através do Azure Machine Learning. Hoje iniciaremos uma série sobre como criar nosso primeiro modelo de aprendizagem de máquina. Primeiramente devemos conhecer alguns conceitos importantes:. Outros conceitos importantes para a validação do modelo são Acurácia, Recall, Precisão, F1-Score, AUC. Veremos isso quando formos comparar modelos, mas já pode consultar no blog do Nogare.

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My views of the World and Systems. Is it frustrating there's so much you do not know? No it fills me with awe. What do we need from an IoT Analytics Platform? July 23, 2015. July 29, 2015. IoT is considered to be the main driver behind analytics for next few years. Predictions point to billions of devices given rise to new innovative use cases. What do we need in an IoT analytics platform? Here is what I think should be done. Level 1: Single Device Level Analytics. Let user aggregate data across all, gro...

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Get me outta here! Business Intelligence, Big Data and Other Ramblings. Https:/ bluewatersql.wordpress.com. Data Science Day #8 Model Selection. May 5, 2016. In our last post, we discussed multiple ways or more accurately metrics that we have at our disposal for evaluating a classification model. While this evaluation process is leading us down the road towards model selection we need to first consider optimizing or tuning our model for the task at hand. SVM – Kernel, Gamma and Regularization. The grid s...

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