Duration
14 hours (usually 2 days including breaks)
Requirements
- Experience with iOS app development
Audience
Overview
Core ML is a domain-specific framework for iOS 11 and macOS High Sierra machine learning integration. With Core ML, users will have the ability to build and train models for classifying images, NLP (Natural Language for Processing), and more.
This instructor-led, live training (online or onsite) is aimed at web developers who wish to create machine learning models with Core ML for iOS 11 and macOS High Sierra development.
By the end of this training, participants will be able to:
- Build AI driven applications that use machine learning.
- Implement machine learning models that classify images.
- Use the Core ML API for supporting custom workflows and advanced use cases.
- Analyze natural language text with machine learning models.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
Course Outline
Introduction
Machine Learning
- Computational learning theory
- Computer algorithms for computational experience
Learning Techniques
- Supervised learning
- Unsupervised learning
- Reinforcement learning
Core ML Framework
- What is Core ML
- What is NLP?
- What is computer vision?
Preparing the Development Environment
- Installing and configuring Core ML
Core ML Quickstart
- Importing machine learning models
- Getting results and values
- Making predictions from machine learning models
- Converting pre-trained models
Vision Framework
- Setting up Vision and image detection
- Classifying and detecting images
NLP
- Analyzing natural language text
- Applying NLP enhanced filter logic
Summary and Conclusion
