Software Alternatives & Reviews

NIC's Future Predictions VS Google Cloud Machine Learning

Compare NIC's Future Predictions VS Google Cloud Machine Learning and see what are their differences

NIC's Future Predictions logo NIC's Future Predictions

Future predictions by the National Intelligence Council

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.
  • NIC's Future Predictions Landing page
    Landing page //
    2022-10-27
  • Google Cloud Machine Learning Landing page
    Landing page //
    2023-09-12

Category Popularity

0-100% (relative to NIC's Future Predictions and Google Cloud Machine Learning)
Productivity
100 100%
0% 0
Data Science And Machine Learning
Customer Feedback
100 100%
0% 0
Data Science Tools
0 0%
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.

NIC's Future Predictions mentions (0)

We have not tracked any mentions of NIC's Future Predictions yet. Tracking of NIC's Future Predictions recommendations started around Mar 2021.

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 / 2 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 / 4 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: 5 months ago
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What are some alternatives?

When comparing NIC's Future Predictions and Google Cloud Machine Learning, you can also consider the following products

Forecast - Forecast is an AI powered resource & project management platform for companies that care about delivering projects on time, scope and budget

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

Predicto - Make predictions on the Blockchain

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

Sybil.dev - With Sybil, you can predict any time series, leveraging our powerful forecasting algorithm in one simple Google Sheet formula.

NumPy - NumPy is the fundamental package for scientific computing with Python