Software Alternatives & Reviews

datarobot VS Apple Machine Learning Journal

Compare datarobot VS Apple Machine Learning Journal and see what are their differences

datarobot logo datarobot

Become an AI-Driven Enterprise with Automated Machine Learning

Apple Machine Learning Journal logo Apple Machine Learning Journal

A blog written by Apple engineers
  • datarobot Landing page
    Landing page //
    2023-08-01
  • Apple Machine Learning Journal Landing page
    Landing page //
    2022-12-13

datarobot videos

Build and Deploy a Managed Machine Learning Project in 10 minutes - Scott Lutz (DataRobot)

More videos:

  • Review - How DataRobot Works
  • Review - DataRobot Predictions Using Alteryx

Apple Machine Learning Journal videos

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Category Popularity

0-100% (relative to datarobot and Apple Machine Learning Journal)
Data Science And Machine Learning
AI
37 37%
63% 63
Business & Commerce
100 100%
0% 0
Developer Tools
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare datarobot and Apple Machine Learning Journal

datarobot Reviews

The 16 Best Data Science and Machine Learning Platforms for 2021
Description: DataRobot offers an enterprise AI platform that automates the end-to-end process for building, deploying, and maintaining AI. The product is powered by open-source algorithms and can be leveraged on-prem, in the cloud or as a fully-managed AI service. DataRobot includes several independent but fully integrated tools (Paxata Data Preparation, Automated Machine...

Apple Machine Learning Journal Reviews

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Social recommendations and mentions

Based on our record, Apple Machine Learning Journal should be more popular than datarobot. 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.

datarobot mentions (1)

  • Predicting the End of Season Bundesliga Table
    To predict what we would have expected, we used the models and approach we developed to predict the knockout stage of the Champions League using data provided by Data Sports Group.  We used DataRobot’s models to predict which team would win each match to simulate the final nine matchdays 10,000 times.  For each team, we calculated the average number of wins, draws and losses over those 10,000 seasons to build an... Source: about 1 year ago

Apple Machine Learning Journal mentions (6)

  • Does anyone else suspect that the official iOS ChatGPT app might be conducting some local inference / edge-computing? [Discussion]
    For your reference, Apple's pages for Machine Learning for Developers and for their research. The Apple Neural Engine was custom designed to work better with their proprietary machine learning programs -- and they've been opening up access to developers by extending support / compatibility for TensorFlow and PyTorch. They've also got CoreML, CreateML, and various APIs they are making to allow more use of their... Source: 12 months ago
  • Which papers should I implement or which Projects should I do to get an entry level job as a Computer vision engineer at MAANG ?
    We even host annual poster sessions of those PhD intern’s work while at our company, and it’ll give you an idea of the caliber of work. It may not be as great as Nvidia, Stryker, Waymo, or Tesla (which are not part of MAANG but I believe are far more ahead in CV), but it’s worth of considering. Source: about 1 year ago
  • Apple’s secrecy created engineer burnout
    They have something for ML: https://machinelearning.apple.com. - Source: Hacker News / almost 2 years ago
  • [D] Is anyone working on open-sourcing Dall-E 2?
    They're more subtle about it, I think. https://machinelearning.apple.com/ Some of the papers are pretty good. I don't disagree with your sentiment in aggregate, though. Source: about 2 years ago
  • How does Apple achieve both secrecy and quality for a release?
    Siri is not where it needs to be because Apple refuses to mine user data to enrich it. They also are very hesitant to allow researchers to publish their breakthroughs which makes recruitment very hard. Although this is changing https://machinelearning.apple.com/. - Source: Hacker News / about 2 years ago
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What are some alternatives?

When comparing datarobot and Apple Machine Learning Journal, you can also consider the following products

RapidMiner - RapidMiner is a software platform for data science teams that unites data prep, machine learning, and predictive model deployment.

Amazon Machine Learning - Machine learning made easy for developers of any skill level

Statista - The Statistics Portal for Market Data, Market Research and Market Studies

Machine Learning Playground - Breathtaking visuals for learning ML techniques.

H2O.ai - Democratizing Generative AI. Own your models: generative and predictive. We bring both super powers together with h2oGPT.

Lobe - Visual tool for building custom deep learning models