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Based on our record, Coursera seems to be a lot more popular than Apple Core ML. While we know about 115 links to Coursera, we've tracked only 7 mentions of Apple Core ML. 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.
Anyway now go to coursera.org and for $49 a month get the Google IT Support Professional cert. That gives you a discount for the A+ exam. With a sob story Coursera may reduce the monthly fee as well. Anyway you are halfway to an IT degree and can be admitted to WGU. Source: 7 months ago
Instead of homepage link opening to coursera.org it redirects to https://www.coursera.org/programs/american-dream-academy-jzjjt?currentTab=CATALOG. Source: about 1 year ago
In terms of structure, consider following a book like Python for Everybody or Automate the Boring Stuff With Python. One of the hard parts of learning a language like python on your own is knowing what you should learn and the order you should learn it in--resources like these books or online courses you can find on Coursera are great for helping with that. Source: about 1 year ago
You can try searching something up on coursera.org or edx.org. Source: about 1 year ago
Start off with this sub for general guidance and read around to see what type of programming you want to learn r/learnprogramming Use these websites for free, make a new email register for a course without a payment method and use the audit option to learn for free, both sites are legal and have courses from top universities. Edx.org and coursera.org. Source: about 1 year ago
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
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
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
> 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
This is the developer documentation where they advertise the APIs - https://developer.apple.com/machine-learning/. Source: almost 3 years ago
Udemy - Online Courses - Learn Anything, On Your Schedule
Amazon Machine Learning - Machine learning made easy for developers of any skill level
edX - Best Courses. Top Institutions. Learn anytime, anywhere.
TensorFlow Lite - Low-latency inference of on-device ML models
Khan Academy - Khan Academy offers online tools to help students learn about a variety of important school subjects. Tools include videos, practice exercises, and materials for instructors. Read more about Khan Academy.
Roboflow Universe - You no longer need to collect and label images or train a ML model to add computer vision to your project.