Software Alternatives & Reviews

Cloud Job Discovery VS Amazon Forecast

Compare Cloud Job Discovery VS Amazon Forecast and see what are their differences

Cloud Job Discovery logo Cloud Job Discovery

We're broadening the reach of Cloud Job Discovery beyond job boards and career site providers to staffing agencies and applicant tracking systems. We’re also introducing support for job search in 100+ language varieties.

Amazon Forecast logo Amazon Forecast

Accurate time-series forecasting service, based on the same technology used at Amazon.com. No machine learning experience required.
  • Cloud Job Discovery Landing page
    Landing page //
    2023-01-30
  • Amazon Forecast Landing page
    Landing page //
    2022-02-05

Cloud Job Discovery videos

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Amazon Forecast videos

Learn How to Accurately Forecast Demand with Amazon Forecast - AWS Online Tech Talks

More videos:

  • Review - Amazon Forecast Overview
  • Review - AWS re:Invent 2020: Building a successful inventory planning solution with Amazon Forecast

Category Popularity

0-100% (relative to Cloud Job Discovery and Amazon Forecast)
Data Dashboard
27 27%
73% 73
Data Science And Machine Learning
Javascript UI Libraries
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, Amazon Forecast seems to be more popular. It has been mentiond 4 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.

Cloud Job Discovery mentions (0)

We have not tracked any mentions of Cloud Job Discovery yet. Tracking of Cloud Job Discovery recommendations started around Mar 2021.

Amazon Forecast mentions (4)

  • Beginning the Journey into ML, AI and GenAI on AWS
    Generative Artificial Intelligence (GenAI) is a type of artificial intelligence that can generate text, images, or other media using generative models. AWS offers a range of services for building and scaling generative AI applications, including Amazon SageMaker, Amazon Rekognition, AWS DeepRacer, and Amazon Forecast. AWS has also invested in developing foundation models (FMs) for generative AI, which are... - Source: dev.to / 3 months ago
  • [Discussion] Amazon's AutoML vs. open source statistical methods
    In this reproducible experiment, we compare Amazon Forecast and StatsForecast a python open-source library for statistical methods. Source: over 1 year ago
  • How to forecast or predict data?
    It sounds like you need something that mostly runs itself, without you necessarily needing to have in-depth knowledge of time series modeling. If you have an AWS account, I'd recommend checking out Amazon Forecast. One of the recommendations I saw in this thread is to run auto.arima in R. That's actually one of the algorithms AWS will run for you, among others. I don't know if it handles differencing and... Source: over 2 years ago
  • AWS Machine Learning Tools in 2021
    With the help of Amazon Forecast, the forecasting technology at the heart of Amazon.com, it is now possible to build forecasting models for your own applications. - Source: dev.to / about 3 years ago

What are some alternatives?

When comparing Cloud Job Discovery and Amazon Forecast, 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.

AWS Personalize - Real-time personalization and recommendation engine in AWS

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

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

XGBoost - XGBoost is an optimized distributed gradient boosting library designed to be highly efficient, flexible and portable.