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Managed MLflow VS Amazon Forecast

Compare Managed MLflow VS Amazon Forecast and see what are their differences

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Managed MLflow logo Managed MLflow

Managed MLflow is built on top of MLflow, an open source platform developed by Databricks to help manage the complete Machine Learning lifecycle with enterprise reliability, security, and scale.

Amazon Forecast logo Amazon Forecast

Accurate time-series forecasting service, based on the same technology used at Amazon.com. No machine learning experience required.
  • Managed MLflow Landing page
    Landing page //
    2023-05-15
  • Amazon Forecast Landing page
    Landing page //
    2022-02-05

Managed MLflow videos

No Managed MLflow videos yet. You could help us improve this page by suggesting one.

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Amazon Forecast videos

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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 Managed MLflow and Amazon Forecast)

Managed MLflow

Amazon Forecast

Data Science And Machine Learning
68 68%
Data Science And Machine Learning
32% 32
Data Science Notebooks
100 100%
Data Science Notebooks
0% 0
Data Dashboard
0 0%
Data Dashboard
100% 100
Machine Learning
100 100%
Machine Learning
0% 0

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 5 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.

Managed MLflow mentions (0)

We have not tracked any mentions of Managed MLflow yet. Tracking of Managed MLflow recommendations started around Mar 2021.

Amazon Forecast mentions (5)

  • TimesFM (Time Series Foundation Model) for time-series forecasting
    They also have Amazon Forecast with different algos - https://aws.amazon.com/forecast/. - Source: Hacker News / about 1 month ago
  • 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 / 5 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 / over 3 years ago

What are some alternatives?

When comparing Managed MLflow and Amazon Forecast, you can also consider the following products

Algorithmia - Algorithmia makes applications smarter, by building a community around algorithm development, where state of the art algorithms are always live and accessible to anyone.

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

Weights & Biases - Developer tools for deep learning research

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.

neptune.ai - Neptune brings organization and collaboration to data science projects. All the experiement-related objects are backed-up and organized ready to be analyzed and shared with others. Works with all common technologies and integrates with other tools.

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

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