Coursera
Udemy
edX
Khan Academy
Codecademy
Moodle
Pluralsight
Udacity
Apple Machine Learning Journal
Amazon Machine Learning
Machine Learning Playground
Lobe
A.I. Experiments by Google
ML5.js
mlblocks
ML Showcase
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Based on our record, Coursera seems to be a lot more popular than Apple Machine Learning Journal. While we know about 115 links to Coursera, we've tracked only 6 mentions of Apple Machine Learning Journal. 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: 6 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: 12 months 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
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
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
They have something for ML: https://machinelearning.apple.com. - Source: Hacker News / about 2 years ago
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
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
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.
Machine Learning Playground - Breathtaking visuals for learning ML techniques.
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.
Lobe - Visual tool for building custom deep learning models
