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Amazon Machine Learning

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Amazon Machine Learning vs Shopify: 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 Shopify? Quickly and easily create a beautiful online store with Shopify. Shopify powers tens of thousands of online retailers including General Electric, Amnesty International, CrossFit, Tesla Motors, Encyclopaedia Britannica, Foo Fighters, GitHub, and more. Our platform allows users to easily and quickly create their own online store without all the technical work involved in developing their own website, or the huge expense of having someone else build it. Shopify lets merchants manage all aspects of their shops: uploading products, changing the design, accepting credit card orders, and viewing their incoming orders and completed transactions.

Amazon Machine Learning and Shopify are primarily classified as "Machine Learning as a Service" and "Ecommerce" 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, Shopify provides the following key features:

  • Choose from 100+ professional themes
  • Customize the look of your online store
  • Start accepting orders in minutes

According to the StackShare community, Shopify has a broader approval, being mentioned in 154 company stacks & 36 developers stacks; compared to Amazon Machine Learning, which is listed in 9 company stacks and 10 developer stacks.

Decisions about Amazon Machine Learning and Shopify
David Swift

We devised SwiftERM to generate additional income from existing consumers on ecommerce websites. Available for those using Shopify, Magento, Woocommerce or Opencart, it runs in alongside (not instead of) existing email marketing software like Mailchimp, Drupal or Emarsys. It is 100% automatic so needs zero additional staff. It uses predictive analytics to identify imminent consumer purchases. The average additional turnover achieved is 10.5%. It is the only software in the world authorised to send Trustpilot to send product ratings in outbound emails. Developers and ecommerce retailers are invited to try to it for free, to establish viability this predictive analytics system is. SwiftERM is a certified Microsoft Partner MPN ID 6197468.

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BrandLume Inc
President at BrandLume · | 3 upvotes · 57.9K views

we've had alot of shopify clients and do alot of those website builds, but we decided a little while back to transfer any client possible to woocommerce, for our e-com web development, as there is alot more functionality available with zoo-commerce. you can have a look at our examples and even our own website in the link provided.

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Pros of Amazon Machine Learning
Pros of Shopify
    Be the first to leave a pro
    • 21
      Affordable yet comprehensive
    • 13
      Great API & integration options
    • 10
      Business-friendly
    • 9
      Intuitive interface
    • 8
      Quick
    • 3
      Awesome customer support
    • 2
      POS & Mobile
    • 2
      Liquid
    • 1
      Dummy Proof
    • 0
      Nopcommerce

    Sign up to add or upvote prosMake informed product decisions

    Cons of Amazon Machine Learning
    Cons of Shopify
      Be the first to leave a con
      • 1
        User is stuck with building a site from a template

      Sign up to add or upvote consMake informed product decisions

      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 Shopify?

      Shopify powers tens of thousands of online retailers including General Electric, Amnesty International, CrossFit, Tesla Motors, Encyclopaedia Britannica, Foo Fighters, GitHub, and more. Our platform allows users to easily and quickly create their own online store without all the technical work involved in developing their own website, or the huge expense of having someone else build it. Shopify lets merchants manage all aspects of their shops: uploading products, changing the design, accepting credit card orders, and viewing their incoming orders and completed transactions.

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

      What companies use Amazon Machine Learning?
      What companies use Shopify?
      See which teams inside your own company are using Amazon Machine Learning or Shopify.
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      What tools integrate with Amazon Machine Learning?
      What tools integrate with Shopify?
        No integrations found

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        What are some alternatives to Amazon Machine Learning and Shopify?
        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