DevTechie Interactive
During WWDC 18 Apple announced CreateML to train machine learning models that can be used with for CoreML. So that mean you now can build apps that leverage custom machine learning models on iPhone and iPad, even when your device is offline. Your apps can quickly analyze images, accurately classify visual content, and easily train models using Create ML
With this video series you will learn to build custom machine learning models that continuously learn over time by collecting data and training them on newly learned data. This will help you create a tremendous customer experience.
This makes it easy for any app developer to get on–boarded with training their models without going through extensive learnings about Machine Learning algorithms. Knowledge of machine learning is great but to get started quickly and to roll out product in market with intelligence built–in is awesome.
So in this video course we will learn to leverage power of Create ML to create some really sophisticated models and use them in our apps in no time.
Instructor Details
Courses : 10
Specification: Mastering Machine Learning with Create ML, Swift, iOS 12
|
7 reviews for Mastering Machine Learning with Create ML, Swift, iOS 12
Add a review
| Price | $12.99 |
|---|---|
| Provider | |
| Duration | 6 hours |
| Year | 2019 |
| Level | All |
| Language | English |
| Certificate | Yes |
| Quizzes | No |
$12.99
Sinan Bokesoy –
So far, it was rough text reading.
Joe Eskridge –
perfect!
GeorgeLukeD –
Awesome course. It helped me to understand from scratch to advance level in machine learning in iOS. I thank the instructor to make so much effort to develop this course.
Maung Han –
Pros: Provides a good basic understanding of the flow and coding structure for Create ML. Friendly and relaxed style was good. Use of playground to demo the concept was nice. Provides a good collection of test code for various networks for later reference and fine tuning. Cons: Poorly prepared demos with unnecessary errors by instructor that could have been avoided by a little tests beforehand. It made the lessons distracting and unnecessarily longer. Later, it became repetitive with the same code again and again, without much in depth explanations. Theoretical explanations were too brief and sometimes does not make sense. Overall, it is ok if you are looking for a quick basic understanding of Create ML. Could skip many demos near the end for various networks.
Scott Gardner –
Just amazing. No stone is left unturned in explaining the ins and outs of Create ML and Core ML for iOS. Love the course so far.
Frank Rogers –
I found what I was looking for in the Advanced Machine Learning with CreateML. I am grateful.
Santiago Prieto –
After taking2 other Machine Learning courses for swift in Udemy, this was the most helpful one. I especially enjoyed Section 5 as it went much more in depth than the others. I now understand how to add and manipulate my own data to train models, how to find the way to target for the results I’m looking for, and how to play with the correct parameters to improve predictability results. One thing I would have liked to see more is how to implement these advanced CreateML models within a normal app. I think that I can (by saving a model and adding it to a project) but advanced tips and tricks for implementation would have been great to hear (for instance: converting a CoreML object for a test case). Still, I’m 5x more prepared for Machine Learning with this course! Thanks for putting it together and keep up the great work.