Building High Accuracy Model with CoreML

This free online course will demonstrate how to create a dataset and ML model. It will also show you how to install Python environments and declare python variables. Discover the core concepts of machine learning and how to start building apps that can think. Learn to build the app interface using the interface builder and build high accuracy models with Core ML. Register Now!

What You Will Learn In This Free Course

Introduction to Machine Learning

To start, this module will introduce you to the process of machine learning. It outlines some examples as well as the uses of machine learning. Supervised learning, unsupervised learning, and reinforcement learning will be discussed. Learn how to install Anaconda and how to declare the python variables. Learn the uses and examples of Tuples.

Building A Classification Model

To start, this module will introduce you to Scikit-learn. You will learn how to build a classification model using Scikit-learn. Learn how to use a classifier to determine whether or not a flower is Iris setosa, Iris versicolor, Iris verginica. This module gives you a step-by-step guide on how to create your own KNeighborsClassifier.

Building High Accuracy Model With Core Machine Learning – First Assessment

In order to pass this assessment, you will need to score 80 per cent or above. Remember, if you do not achieve the required standard after the first attempt, you can re-take the assessment until a successful outcome is achieved.

Building A Convolutional Neutral Network

To start, this module will introduce you to the uses of Keras. You will learn the difference between tensor flow and Keras. It explains how Convolutional Neural Network works and how to classify images. This module teaches you how to run values through convolutional layers. You will also learn to build your Convolutional Neural Network using Keras.

Building A Handwriting Recognition App

To start, this module will introduce you to building an app that can recognize handwriting using the Core ML module. This module teaches you how to draw on your screen in ML. It explains how to import the core ML model to a project in order to use it. You will learn how to handle the result given from Core ML and use the result to cycle through.

Core Machine Learning Basics

This module explains Machine learning, how it works. It explains the process of integrating Machine Learning into iOS Apps. You will learn how to build the app interface using the interface builder. This module teaches you how to make a custom UI collection view flow layout.

Building High Accuracy Model With Core Machine Learning – Second Assessment

In order to pass this assessment, you will need to score 80 per cent or above. Remember, if you do not achieve the required standard after the first attempt, you can re-take the assessment until a successful outcome is achieved.

Course assessment