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Google Cloud Machine Learning VS QuickBI

Compare Google Cloud Machine Learning VS QuickBI and see what are their differences

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Contents:
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Google Cloud Machine Learning logo Google Cloud Machine Learning

Google Cloud Machine Learning is a service that enables user to easily build machine learning models, that work on any type of data, of any size.

QuickBI logo QuickBI

Export data from over 300 sources to a data warehouse and analyze it with a reporting tool of your choice. Quick and easy setup.
  • Google Cloud Machine Learning Landing page
    Landing page //
    2023-09-12
Not present

Google Cloud Machine Learning videos

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QuickBI videos

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Analytics | QuickBI Common Chart Analysis

Category Popularity

0-100% (relative to Google Cloud Machine Learning and QuickBI)

Google Cloud Machine Learning

QuickBI

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Data Integration
0 0%
Data Integration
100% 100
Data Science Tools
100 100%
Data Science Tools
0% 0
Data Pipelines
0 0%
Data Pipelines
100% 100

User comments

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Social recommendations and mentions

Based on our record, Google Cloud Machine Learning seems to be more popular. It has been mentiond 21 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.

Google Cloud Machine Learning mentions (21)

  • Gemini 1.5 outshines GPT-4-Turbo-128K on long code prompts, HVM author
    2. Google Cloud Vertex AI: https://cloud.google.com/vertex-ai. Policy: https://cloud.google.com/vertex-ai/docs/generative-ai/data-governance#foundation_model_training. - Source: Hacker News / 3 months ago
  • Let's build your first ML app in Google Cloud Run
    Google Cloud Platform (GCP) provides a very befitting Machine Learning solution called Vertex Ai that handles Google Cloud's unified platform for building, deploying, and managing machine learning (ML) models. Our goal is to build a simple Machine Learning application that optimizes all that GCP provides plus an implementation of continuous integration and continuous development (CI/CD). - Source: dev.to / 5 months ago
  • Google Gemini Pro API Available Through AI Studio
    Cross posting some links from another post that HNers found helpful - https://cloud.google.com/vertex-ai (marketing page) - https://cloud.google.com/vertex-ai/docs (docs entry point) - https://console.cloud.google.com/vertex-ai (cloud console) - https://console.cloud.google.com/vertex-ai/model-garden (all the models) - https://console.cloud.google.com/vertex-ai/generative (studio / playground) VertexAI is the... - Source: Hacker News / 5 months ago
  • Google Imagen 2
    For the peer comments - https://cloud.google.com/vertex-ai (main page) - https://cloud.google.com/vertex-ai/docs/start/introduction-unified-platform (docs entry point) - https://console.cloud.google.com/vertex-ai (cloud console). - Source: Hacker News / 5 months ago
  • Introducing Gemini: our largest and most capable AI model
    Starting on December 13, developers and enterprise customers can access Gemini Pro via the Gemini API in Google AI Studio or Google Cloud Vertex AI. Source: 6 months ago
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QuickBI mentions (0)

We have not tracked any mentions of QuickBI yet. Tracking of QuickBI recommendations started around Feb 2024.

What are some alternatives?

When comparing Google Cloud Machine Learning and QuickBI, 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.

Supermetrics - Supermetrics condenses all the major vectors of data relevant to a user's marketing campaigns and helps them make sense of it all.

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

Airbyte - Replicate data in minutes with prebuilt & custom connectors

OpenCV - OpenCV is the world's biggest computer vision library

Fivetran - Fivetran offers companies a data connector for extracting data from many different cloud and database sources.

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