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Mobenzi Researcher VS Apple Machine Learning Journal

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

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Mobenzi Researcher logo Mobenzi Researcher

Technology to empower frontline workers, inform decision-makers and engage communities

Apple Machine Learning Journal logo Apple Machine Learning Journal

A blog written by Apple engineers
  • Mobenzi Researcher Landing page
    Landing page //
    2021-09-21
  • Apple Machine Learning Journal Landing page
    Landing page //
    2022-12-13

Category Popularity

0-100% (relative to Mobenzi Researcher and Apple Machine Learning Journal)

Mobenzi Researcher

Apple Machine Learning Journal

Surveys
100 100%
Surveys
0% 0
AI
0 0%
AI
100% 100
Form Builder
100 100%
Form Builder
0% 0
Developer Tools
0 0%
Developer Tools
100% 100

User comments

Share your experience with using Mobenzi Researcher and Apple Machine Learning Journal. For example, how are they different and which one is better?
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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.

Mobenzi Researcher mentions (0)

We have not tracked any mentions of Mobenzi Researcher yet. Tracking of Mobenzi Researcher 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: about 1 year 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 / about 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 Mobenzi Researcher and Apple Machine Learning Journal, you can also consider the following products

Enketo Smart Paper - Web forms evolved. Deploy and conduct surveys that work without a connection, on any device.

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

Ona - Mobile Data Collection solution and application that empowers field teams. Ona provides a web and mobile app that allows the monitoring of real time field data both online and offline.

Machine Learning Playground - Breathtaking visuals for learning ML techniques.

DHIS2 - Manage aggregate data with a flexible data model which has been field-tested for more than 15 years.

Lobe - Visual tool for building custom deep learning models

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