Welcome to the most comprehensive course on Core ML, one of Apple’s hot new features for iOS 11.

File Size: 2 GB.

Stone River Elearning – Machine Learning for Apps

Stone River Elearning - Machine Learning for Apps

Course Description

Welcome to the most comprehensive course on Core ML, one of Apple’s hot new features for iOS 11. The goal of Machine Learning is to mimic the human mind. It can be used to identify things like objects or images, make predictions and even analyze and identify speech.

Dive in and learn the core concepts of machine learning and start building apps that can think! In this course, you going to learn everything you need to know to start building more intelligent apps and your own ML models.

If you have basic experience with iOS or mobile development then take this course.

Curriculum

Check out the detailed breakdown of what’s inside the course

Introduction to Course
4 Lectures

What is Machine Learning?07:31
Basics of Machine Learning06:17
Installing Anaconda / Python Environment07:02
Downloading / Setting Up Atom & Plugins08:43

Python Basics
4 Lectures

Variables in Python08:07
Arrays & Tuples in Python13:35
Functions, Conditionals, & Loops in Python09:33
Importing Modules in Python05:05

Building a Classification Model
8 Lectures

What is scikit-learn- Why use it03:34
Installing scikit-learn & scipy with Anaconda03:11
Intro to the Iris Dataset03:11
Datasets- Features & Labels Explained07:22
Loading the Iris Dataset – Examining & Preparing Data09:10
Creating – Training a KNeighborsClassifier09:25
Testing Prediction Accuracy with Test Data11:48
Building Our Own KNeighbors Classifier17:43

Building a Convolutional Neural Network
8 Lectures

What is Keras- Why use it07:44
What is a Convolutional Neural Network (CNN)26:12
Installing Keras with Anaconda04:21
Preparing Dataset for a CNN17:21
Building – Visualizing a CNN using Sequential- Part 113:50
Building – Visualizing a CNN using Sequential- Part 219:23
Training CNN – Evaluating Accuracy – Saving to Disk17:36
Switching Python Environments – Converting to Core ML Model13:21

Building a Handwriting Recognition App
6 Lectures

Intro to App – Handwriting02:38
Building Interface – Wiring Up11:25
Drawing On Screen20:44
Importing Core ML Model – Reading Metadata04:59
Utilizing Core ML – Vision to Make Prediction17:13
Handling – Displaying Prediction Results14:54

Core ML Basics
12 Lectures

Intro to App – Core ML Photo Analysis04:08
What is Machine Learning07:31
What is Core ML04:48
Creating Xcode Project02:26
Building ImageVC in Interface Builder – Wiring Up07:23
Creating ImageCell & Subclass – Wiring Up07:55
Creating FoodItems Helper File06:45
Creating Custom 3×3 Grid UICollectionViewFlowLayout08:54
Choosing, Downloading, Importing Core ML Model05:04
Passing Images Through Core ML Model12:02
Handling Core ML Prediction Results09:25
Challenge – Core ML Photo Analysis01:00

Instructor Details

Stone River eLearning

At Stone River eLearning, technology is all we teach. If you’re interested in IT, programming, development or design – we have it covered.

Check out our huge catalog of courses and join the over 1,200,000+ students currently taking Stone River eLearning courses. We currently offer 800+ different technology training courses on our Stone River eLearning website and are adding new courses on hot and trending topics every month. A subscription option is available for those with a real passion for learning.

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