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IBM Watson for CoreML VS Apple Machine Learning Journal

Compare IBM Watson for CoreML VS Apple Machine Learning Journal and see what are their differences

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IBM Watson for CoreML logo IBM Watson for CoreML

Apple's direct AI integration for iOS apps

Apple Machine Learning Journal logo Apple Machine Learning Journal

A blog written by Apple engineers
  • IBM Watson for CoreML Landing page
    Landing page //
    2022-04-23
  • Apple Machine Learning Journal Landing page
    Landing page //
    2022-12-13

Category Popularity

0-100% (relative to IBM Watson for CoreML and Apple Machine Learning Journal)

IBM Watson for CoreML

Apple Machine Learning Journal

AI
16 16%
AI
84% 84
Developer Tools
14 14%
Developer Tools
86% 86
Predictive Analytics
100 100%
Predictive Analytics
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100

User comments

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Social recommendations and mentions

Based on our record, Apple Machine Learning Journal seems to be more popular. 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.

IBM Watson for CoreML mentions (0)

We have not tracked any mentions of IBM Watson for CoreML yet. Tracking of IBM Watson for CoreML recommendations started around Mar 2021.

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: 11 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 IBM Watson for CoreML and Apple Machine Learning Journal, you can also consider the following products

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

Apple Core ML - Integrate a broad variety of ML model types into your app

Machine Learning Playground - Breathtaking visuals for learning ML techniques.

DataStories - DataStories is an easy to use augmented analytics software. It is uniquely suitable for problems supported by somewhat structured data of unknown quality with too many variables of unknown significance.

Lobe - Visual tool for building custom deep learning models

Minitab - Minitab helps businesses increase efficiency and improve quality through smart data analysis.

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