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Amazon Machine Learning

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Amazon Machine Learning vs xlwings: What are the differences?

What is Amazon Machine Learning? Visualization tools and wizards that guide you through the process of creating ML models w/o having to learn complex ML algorithms & technology. 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.

What is xlwings? Use Python in Excel without add-ins. Replace your VBA code with Python, a powerful yet easy-to-use programming language that is highly suited for numerical analysis. Supports Windows & Mac!.

Amazon Machine Learning and xlwings are primarily classified as "Machine Learning as a Service" and "Spreadsheets as a Backend" tools respectively.

Some of the features offered by Amazon Machine Learning are:

  • Easily Create Machine Learning Models
  • From Models to Predictions in Seconds
  • Scalable, High Performance Prediction Generation Service

On the other hand, xlwings provides the following key features:

  • Easy deployment: The receiver of an xlwings-powered spreadsheets only needs Python with minimal dependencies — or nothing at all when shipped with the Python runtime.
  • Cross-Platform: xlwings works with Microsoft Excel on Windows and Mac.
  • Plug-and-Play: No cumbersome installation of Excel add-ins or license keys.

xlwings is an open source tool with 1.38K GitHub stars and 259 GitHub forks. Here's a link to xlwings's open source repository on GitHub.

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Cons of Amazon Machine Learning
Cons of xlwings
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    • 3
      Very slow and still needs VBA for UDFs

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    What is 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.

    What is xlwings?

    Replace your VBA code with Python, a powerful yet easy-to-use programming language that is highly suited for numerical analysis. Supports Windows & Mac!

    Need advice about which tool to choose?Ask the StackShare community!

    What companies use Amazon Machine Learning?
    What companies use xlwings?
    Manage your open source components, licenses, and vulnerabilities
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    What are some alternatives to Amazon Machine Learning and xlwings?
    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.
    Apache Spark
    Spark is a fast and general processing engine compatible with Hadoop data. It can run in Hadoop clusters through YARN or Spark's standalone mode, and it can process data in HDFS, HBase, Cassandra, Hive, and any Hadoop InputFormat. It is designed to perform both batch processing (similar to MapReduce) and new workloads like streaming, interactive queries, and machine learning.
    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.
    RapidMiner
    It is a software platform for data science teams that unites data prep, machine learning, and predictive model deployment.
    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.
    See all alternatives