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Amazon Personalize

Real-time personalization and recommendation
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What is Amazon Personalize?

Machine learning service that makes it easy for developers to add individualized recommendations to customers using their applications.
Amazon Personalize is a tool in the Machine Learning as a Service category of a tech stack.

Who uses Amazon Personalize?

9 companies reportedly use Amazon Personalize in their tech stacks, including SPACEMARKET, istegelsin, and Pixium Digital Pte Ltd.

10 developers on StackShare have stated that they use Amazon Personalize.

Amazon Personalize Integrations

Amazon Personalize's Features

  • Combine customer and contextual data to generate high-quality recommendations
  • Automated machine learning
  • Continuous learning to improve performance
  • Bring your own algorithms
  • Easily integrate with your existing tools

Amazon Personalize Alternatives & Comparisons

What are some alternatives to Amazon Personalize?
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 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.
scikit-learn is a Python module for machine learning built on top of SciPy and distributed under the 3-Clause BSD license.
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano.
A parallel computing platform and application programming interface model,it enables developers to speed up compute-intensive applications by harnessing the power of GPUs for the parallelizable part of the computation.
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Amazon Personalize's Followers
59 developers follow Amazon Personalize to keep up with related blogs and decisions.