Software Alternatives, Accelerators & Startups

LinkedIn Learning VS Apple Core ML

Compare LinkedIn Learning VS Apple Core ML and see what are their differences

LinkedIn Learning logo LinkedIn Learning

Online training through LinkedIn's professional network.

Apple Core ML logo Apple Core ML

Integrate a broad variety of ML model types into your app
  • LinkedIn Learning Landing page
    Landing page //
    2021-09-25
  • Apple Core ML Landing page
    Landing page //
    2023-06-13

LinkedIn Learning videos

LinkedIn Learning Review

More videos:

  • Review - Is LinkedIn Learning Worth it?
  • Demo - LinkedIn Learning Demo & Review for Job Seekers

Apple Core ML videos

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

Category Popularity

0-100% (relative to LinkedIn Learning and Apple Core ML)
Education
100 100%
0% 0
Developer Tools
0 0%
100% 100
Online Learning
100 100%
0% 0
AI
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 LinkedIn Learning and Apple Core ML

LinkedIn Learning Reviews

Top 11 Coursera Alternatives 2024
LinkedIn Learning is an online resource that provides access to several professional courses from well-known instructors. Users can upgrade their skills with LinkedIn learning and simultaneously look for opportunities on LinkedIn. The online learning portal includes beginner-friendly video lessons for every course.
Source: freshlearn.com
14 Best Free and Paid Coursera Alternatives For Creators (2024)
LinkedIn Learning is a go-to for people who want to improve their professional career. It’s well known in the professional community and many higher ed institutions have partnered with the platform to extend the learning opportunities for their students.
New Coursera Alternatives – Which Is Best for You? (2020 UPDATE)
Since LinkedIn Learning (formerly Lynda.com) is part of the LinkedIn suite of services, it’s no surprise that it’s very focused on the business world. Offering around 13,000 courses, the platform covers business, technology, and creativity.
Best sites & Alternatives to Udemy (2020)
Further, it combines with LinkedIn Learning and offers you over 1,000 business courses so that you can learn various skills from the industry experts. However, the entire Lynda course library has 13,000+ courses.
Source: coderseye.com
9 Online Learning Platforms for Quality Professional Development
Of course, because you're able to consume so much, it's also a bit more expensive: After a free trial month, monthly subscriptions are $29.99 per month. (Post-acquisition price hikes have proved predictably controversial.) The good news: LinkedIn Learning is popular with employers who want to provide professional development as a perk at work, so you could encourage your...
Source: zapier.com

Apple Core ML Reviews

We have no reviews of Apple Core ML yet.
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Social recommendations and mentions

Based on our record, Apple Core ML seems to be more popular. 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.

LinkedIn Learning mentions (0)

We have not tracked any mentions of LinkedIn Learning yet. Tracking of LinkedIn Learning recommendations started around Mar 2021.

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 / 4 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 / 6 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: about 1 year 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 / about 1 year 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: almost 3 years ago
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What are some alternatives?

When comparing LinkedIn Learning and Apple Core ML, you can also consider the following products

Udemy - Online Courses - Learn Anything, On Your Schedule

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

Adobe Learning Manager - Adobe Learning Manager (formerly Adobe Captivate Prime LMS) is easy to setup and helps in delivering engaging learning experiences in a personalized manner across devices.

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

Moodle - Moodle is the world's most popular learning management system. Start creating your online learning site in minutes!

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