Jessy Catterwaul | Duration: 1h 17m | Video: H264 1920×1080 | Audio: AAC 48 kHz 2ch | 1,01 GB | Language: English + .vtt

With Core ML, it’s now possible to use machine learning in real- on iOS devices.


In this course, you’ll learn to train models on a Mac and use them for data analysis.

Who is this for?

This course is for iOS developers who either have no experience with machine learning, or have used Core ML in some capacity, but have not trained their own models. You’ll need to be running macOS 10.14 Mojave or later in order to follow along. And you should be very comfortable using Swift and Xcode.

Covered concepts:

Live image classification

Training and tuning Core ML models

Using custom models with Vision

Augmenting data sets with Create ML

Data curation for optimal training

Creating Python environments for ML using Anaconda

Using the Turi Create API in Jupyter Notebook

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