Software Alternatives, Accelerators & Startups

Salesforce Platform VS Apple Machine Learning Journal

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

Salesforce Platform logo Salesforce Platform

Salesforce Platform is a comprehensive PaaS solution that paves the way for the developers to test, build, and mitigate the issues in the cloud application before the final deployment.

Apple Machine Learning Journal logo Apple Machine Learning Journal

A blog written by Apple engineers
  • Salesforce Platform Landing page
    Landing page //
    2023-06-05
  • Apple Machine Learning Journal Landing page
    Landing page //
    2022-12-13

Salesforce Platform videos

Salesforce Platform Overview (1)

Apple Machine Learning Journal videos

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Category Popularity

0-100% (relative to Salesforce Platform and Apple Machine Learning Journal)
Cloud Computing
100 100%
0% 0
AI
0 0%
100% 100
Cloud Hosting
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 Salesforce Platform and Apple Machine Learning Journal

Salesforce Platform Reviews

3 easy app makers you can start on today
Salesforce Platform: If you use the popular customer relationship management system, Salesforce’s low-code tools allow you to build custom apps that can include AI and connect with the company’s various cloud services.

Apple Machine Learning Journal Reviews

We have no reviews of Apple Machine Learning Journal yet.
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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.

Salesforce Platform mentions (0)

We have not tracked any mentions of Salesforce Platform yet. Tracking of Salesforce Platform recommendations started around Sep 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 Salesforce Platform and Apple Machine Learning Journal, you can also consider the following products

Google App Engine - A powerful platform to build web and mobile apps that scale automatically.

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

Dokku - Docker powered mini-Heroku in around 100 lines of Bash

Machine Learning Playground - Breathtaking visuals for learning ML techniques.

Google Cloud Functions - A serverless platform for building event-based microservices.

Lobe - Visual tool for building custom deep learning models