Software Alternatives & Reviews

GoLearn VS Google CLOUD AUTOML

Compare GoLearn VS Google CLOUD AUTOML and see what are their differences

GoLearn logo GoLearn

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

Google CLOUD AUTOML logo Google CLOUD AUTOML

Train custom ML models with minimum effort and expertise
  • GoLearn Landing page
    Landing page //
    2023-10-07
  • Google CLOUD AUTOML Landing page
    Landing page //
    2023-07-30

GoLearn videos

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

Google CLOUD AUTOML videos

No Google CLOUD AUTOML videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to GoLearn and Google CLOUD AUTOML)
Data Science And Machine Learning
Data Science Tools
100 100%
0% 0
AI
0 0%
100% 100
Data Dashboard
100 100%
0% 0

User comments

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Social recommendations and mentions

Based on our record, Google CLOUD AUTOML 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

Google CLOUD AUTOML mentions (6)

  • Is there going to be engines dedicated to creating AI?
    There are several no-code AI websites that you can use like Amazon SageMaker, Apple CreateML or Google AutoML. Source: about 1 year ago
  • How AWS and GCP Compare: The Top 5 Differences
    GCP, on the other hand, offers two top options: Google Cloud AutoML, for beginners, and Google Cloud Machine Learning Engine, for handling tasking projects. GCP also provides Tenserflow and Vertex AI complicated machine learning abilities. - Source: dev.to / over 1 year ago
  • Discussion Thread
    Just outsource the work to Google or Amazon. Source: over 2 years ago
  • Is GitHub Copilot a Threat to Developers? (Spoiler: It’s Not
    We can also note the appearance of Machine Learning, creating dynamic processes over data that would have been tedious to analyse, either by hand or through specific code. This enables writing potentially complex behaviours with a few lines of code in some cases. Even then, there is some automation of it to the point where you only have to provide data to get working results. - Source: dev.to / almost 3 years ago
  • Are there any ready-to-use image AI programs for dummies?
    You might want to check out automl Google AutoML. Source: almost 3 years ago
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What are some alternatives?

When comparing GoLearn and Google CLOUD AUTOML, 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.

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

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.

BigML - BigML's goal is to create a machine learning service extremely easy to use and seamless to integrate.

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

TensorFlow - TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.