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datarobot VS Apple Core ML

Compare datarobot VS Apple Core ML and see what are their differences

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

datarobot logo datarobot

Become an AI-Driven Enterprise with Automated Machine Learning

Apple Core ML logo Apple Core ML

Integrate a broad variety of ML model types into your app
  • datarobot Landing page
    Landing page //
    2023-08-01
  • Apple Core ML Landing page
    Landing page //
    2023-06-13

datarobot videos

+ Add

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 Core ML videos

+ Add

IBM Watson & Apple Core ML Collaboration - What it means for app development

Category Popularity

0-100% (relative to datarobot and Apple Core ML)

datarobot

Apple Core ML

Data Science And Machine Learning
86 86%
Data Science And Machine Learning
14% 14
Developer Tools
0 0%
Developer Tools
100% 100
Business & Commerce
100 100%
Business & Commerce
0% 0
AI
51 51%
AI
49% 49

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 Core ML

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...
Source: solutionsreview.com

Apple Core ML Reviews

We have no reviews of Apple Core ML yet.
Be the first one to post

Social recommendations and mentions

Based on our record, Apple Core ML should be more popular than datarobot. It has been mentiond 7 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 Core ML mentions (7)

  • Ask HN: Where is Apple? They seem to be left out of the AI race?
    On the machine learning side of AI, they have CoreML. You can drag-and-drop images into Xcode to train an image classifier. And run the models on device, so if solar flares destroy the cell phone network and terrorists bomb all the data centers, your phone could still tell you if it's a hot dog or not. https://developer.apple.com/machine-learning/ https://developer.apple.com/machine-learning/core-ml/... - Source: Hacker News / about 2 months ago
  • The Magnitude of the AI Bubble
    Apple has actually created ML chipsets, so AI can be executed natively, on-device. https://developer.apple.com/machine-learning/. - Source: Hacker News / 4 months ago
  • 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
  • Apple to occupy 90% of TSMC 3nm capacity in 2023
    > It’d be one thing if Apple actually worked on AI softwares a bit and made it readily available to developers. * Apple Silicon CPUs have a Neural Engine specifically made for fast ML-inference * Apple supports PyTorch (https://developer.apple.com/metal/pytorch/) * Apple has its own easily accessible machine-learning framework called Core-ML (https://developer.apple.com/machine-learning/) So it would be inaccurate... - Source: Hacker News / 12 months ago
  • The iPhone 13 is a pitch-perfect iPhone 12S
    This is the developer documentation where they advertise the APIs - https://developer.apple.com/machine-learning/. Source: over 2 years ago
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What are some alternatives?

When comparing datarobot and Apple Core ML, 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

TensorFlow Lite - Low-latency inference of on-device ML models

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

Roboflow Universe - You no longer need to collect and label images or train a ML model to add computer vision to your project.

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