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Amazon Personalize

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scikit-learn

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Amazon Personalize vs scikit-learn: What are the differences?

Amazon Personalize: Real-time personalization and recommendation. Machine learning service that makes it easy for developers to add individualized recommendations to customers using their applications; scikit-learn: Easy-to-use and general-purpose machine learning in Python. scikit-learn is a Python module for machine learning built on top of SciPy and distributed under the 3-Clause BSD license.

Amazon Personalize and scikit-learn are primarily classified as "Machine Learning as a Service" and "Machine Learning" tools respectively.

scikit-learn is an open source tool with 36K GitHub stars and 17.6K GitHub forks. Here's a link to scikit-learn's open source repository on GitHub.

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      Scientific computing
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    Cons of Amazon Personalize
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      - No public GitHub repository available -

      What is Amazon Personalize?

      Machine learning service that makes it easy for developers to add individualized recommendations to customers using their applications.

      What is scikit-learn?

      scikit-learn is a Python module for machine learning built on top of SciPy and distributed under the 3-Clause BSD license.

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      What companies use Amazon Personalize?
      What companies use scikit-learn?
      See which teams inside your own company are using Amazon Personalize or scikit-learn.
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      What tools integrate with Amazon Personalize?
      What tools integrate with scikit-learn?

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      What are some alternatives to Amazon Personalize and scikit-learn?
      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.
      PyTorch
      PyTorch is not a Python binding into a monolothic C++ framework. It is built to be deeply integrated into Python. You can use it naturally like you would use numpy / scipy / scikit-learn etc.
      Keras
      Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano. https://keras.io/
      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.
      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.
      See all alternatives