Azure Machine Learning vs TensorFlow

Azure Machine Learning
Azure Machine Learning

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TensorFlow
TensorFlow

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Azure Machine Learning vs TensorFlow: What are the differences?

What is Azure Machine Learning? A fully-managed cloud service for predictive analytics. Azure Machine Learning is a fully-managed cloud service that enables data scientists and developers to efficiently embed predictive analytics into their applications, helping organizations use massive data sets and bring all the benefits of the cloud to machine learning.

What is TensorFlow? Open Source Software Library for Machine Intelligence. TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.

Azure Machine Learning and TensorFlow are primarily classified as "Machine Learning as a Service" and "Machine Learning" tools respectively.

Uber Technologies, 9GAG, and VSCO are some of the popular companies that use TensorFlow, whereas Azure Machine Learning is used by Microsoft, Bluebeam Software, and Petra. TensorFlow has a broader approval, being mentioned in 195 company stacks & 126 developers stacks; compared to Azure Machine Learning, which is listed in 12 company stacks and 8 developer stacks.

Advice on Azure Machine Learning and TensorFlow
Adithya Shetty
Adithya Shetty
Student at PES UNIVERSITY · | 5 upvotes · 2K views
Needs advice
on
TensorFlowTensorFlow
vs
PyTorchPyTorch
vs
KerasKeras

I have just started learning some basic machine learning concepts. So which of the following frameworks is better to use: Keras / TensorFlow/PyTorch. I have prior knowledge in python(and even pandas), java, js and C. It would be nice if something could point out the advantages of one over the other especially in terms of resources, documentation and flexibility. Also, could someone tell me where to find the right resources or tutorials for the above frameworks? Thanks in advance, hope you are doing well!!

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      What is Azure Machine Learning?

      Azure Machine Learning is a fully-managed cloud service that enables data scientists and developers to efficiently embed predictive analytics into their applications, helping organizations use massive data sets and bring all the benefits of the cloud to machine learning.

      What is TensorFlow?

      TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.
      What companies use Azure Machine Learning?
      What companies use TensorFlow?

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      What tools integrate with Azure Machine Learning?
      What tools integrate with TensorFlow?

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      What are some alternatives to Azure Machine Learning and TensorFlow?
      Python
      Python is a general purpose programming language created by Guido Van Rossum. Python is most praised for its elegant syntax and readable code, if you are just beginning your programming career python suits you best.
      Azure Databricks
      Accelerate big data analytics and artificial intelligence (AI) solutions with Azure Databricks, a fast, easy and collaborative Apache Spark–based analytics service.
      Amazon SageMaker
      A fully-managed service that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale.
      Amazon Machine Learning
      This new AWS service helps you to use all of that data you’ve been collecting to improve the quality of your decisions. You can build and fine-tune predictive models using large amounts of data, and then use Amazon Machine Learning to make predictions (in batch mode or in real-time) at scale. You can benefit from machine learning even if you don’t have an advanced degree in statistics or the desire to setup, run, and maintain your own processing and storage infrastructure.
      Databricks
      Databricks Unified Analytics Platform, from the original creators of Apache Spark™, unifies data science and engineering across the Machine Learning lifecycle from data preparation to experimentation and deployment of ML applications.
      See all alternatives
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