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GoLearn VS AWS Personalize

Compare GoLearn VS AWS Personalize and see what are their differences

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GoLearn logo GoLearn

GoLearn is a machine learning library for Go that implements the scikit-learn interface of Fit/Predict.

AWS Personalize logo AWS Personalize

Real-time personalization and recommendation engine in AWS
  • GoLearn Landing page
    Landing page //
    2023-10-07
  • AWS Personalize Landing page
    Landing page //
    2023-04-01

GoLearn videos

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GoLearn Pole Dancing iPhone App DayFly Review

More videos:

  • Review - Nikolai Bratkovski of Opencare.com Reviews GoLearn.io & Joshua Lombardo Bottema
  • Review - Ping Hsu From Spotted Properties Reviews GoLearn.io & Joshua Lombardo-Bottema

AWS Personalize videos

No AWS Personalize videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to GoLearn and AWS Personalize)

GoLearn

AWS Personalize

Data Science And Machine Learning
28 28%
Data Science And Machine Learning
72% 72
Data Science Tools
38 38%
Data Science Tools
62% 62
Data Dashboard
38 38%
Data Dashboard
62% 62
Technical Computing
100 100%
Technical Computing
0% 0

User comments

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Social recommendations and mentions

Based on our record, AWS Personalize should be more popular than GoLearn. It has been mentiond 6 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

GoLearn mentions (1)

  • Multi-layer neural network from scratch in Go
    If you're curious about a more robust machine learning library in Go, https://github.com/sjwhitworth/golearn is a quite feature-rich option. Source: over 2 years ago

AWS Personalize mentions (6)

  • Evolutionary Recommender Design with Amazon Personalize
    Over the past few months I've been spending a fair amount of time working on personalization, leveraging one of my new favorite AWS services - Amazon Personalize. Needless to say there is much more that goes into building and launching a personalization system than just turning on a few services and feeding in some data. In this article I'll focus on what it takes to launch a new personalization strategy, and... - Source: dev.to / 8 months ago
  • I built a ChatGPT powered shopping tool
    Check this out https://aws.amazon.com/personalize/. Source: about 1 year ago
  • Social Media Web app
    You can use Algolia Recommend system, comes at a cost or even AWS. Source: over 1 year ago
  • It's sad to watch Oura get cheaper and cheaper with their customers. First you just had to buy the ring. Next they gave you 6 months free. Now they give you one month free. They must be getting squeezed by their VCs/Board to turn up the margins.
    It's not sleep analysis, technically. They have general tools that analyze and process data in different ways. For example, AWS Personalize could be something useful for Oura. Source: over 1 year ago
  • Amazon SES and everything to set it up
    With Amazon Pinpoint and Amazon Personalize sending marketing emails with content customized to user's preference. - Source: dev.to / over 2 years ago
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What are some alternatives?

When comparing GoLearn and AWS Personalize, you can also consider the following products

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

machine-learning in Python - Do you want to do machine learning using Python, but you’re having trouble getting started? In this post, you will complete your first machine learning project using Python.

Google Cloud TPU - Custom-built for machine learning workloads, Cloud TPUs accelerate training and inference at scale.

Amazon Forecast - Accurate time-series forecasting service, based on the same technology used at Amazon.com. No machine learning experience required.

python-recsys - python-recsys is a python library for implementing a recommender system.

Qubole - Qubole delivers a self-service platform for big aata analytics built on Amazon, Microsoft and Google Clouds.

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