Advanced Machine Learning in iOS, Swift, Create ML, Core ML

Build Intelligent Apps with Machine Learning. Hands-on live coding with CoreML, CreateML, NLP

3.00 (7 reviews)
Udemy
platform
English
language
Mobile Apps
category
instructor
Advanced Machine Learning in iOS, Swift, Create ML, Core ML
55
students
5 hours
content
Aug 2020
last update
$29.99
regular price

What you will learn

Learn Core ML and Create ML

Hands-on introduction to machine learning in the context of iOS

Build by example to gain working knowledge of new Core ML 2, Vision, Natural Language Processing and Create ML

Learn to classify and integrate text via natural language processing into your apps

Build apps that can classify objects in images and video streams

Use Core ML to perform Neural Network based style transfer

Description

Artificial Intelligence and Machine Learning is all around us. Autonomous delivery robots, self-driving cars, Apple Siri, Google Home, Amazon Alexa are some common examples of how machine learning and artificial intelligence have become integral part of our day to day life.

Do you ever wonder as what are the driving factors for these innovations, what are the fundamental building blocks behind these and what will it take to learn all these skills to apply on your app? If you ever wonder about all this then this course is for you.

This course will teach you, how to integrate machine learning into your iOS apps. We are going to learn concepts, types and areas of machine learning while building apps to utilize techniques learned. We will build and train our own machine learning models to classify images as well as classify textual data via Apple's new Natural Language Processing framework.

This course will teach you to perform common machine learning tasks. We will focus on practical applications backed with intelligence of machine learning, using hands-on Swift code examples.

You will learn how to train machine learning models on your computer. You will develop several smart apps, including a healthy snack classifier, berry fruit classification, Neural Network based style transfer app to turn your photos into famous painter's masterpiece and a lot more!

This is the perfect course for you if you're interested in machine learning, or if you’re looking to switch into an exciting new career track.

Content

Introduction

Introduction
About us
What will you get?

Machine Learning

What is machine learning?
Why should I learn machine learning?
Why use machine learning?
Types of machine learning algorithms

Core ML

What is Core ML?
What is new in Core ML 2

Healthy Food or Not App

App Demo
UI Design
Implementing Image Picker
Making app intelligent with machine learning

Prisma App

App Demo
UI Design
Adding machine learning to the app
Finalizing the app

Download ML Model During Runtime

App Demo
UI Design
Downloading model from internet
Finishing the app

Create ML

What is Create ML?
Training Dog vs Cat Image Classifier using Create ML
Dog Cat Classification App

Natural Language Processing in iOS

Introduction to Natural Language Processing in iOS
String Tokenization
Dominant Language Detection
Parts of Speech Recognizer
Name Entity Detection
Lemma in iOS
Text Classification

Fruit image classification using Create ML

App Demo
Playground setup to Train Machine Learning Model
Build ML Model
ML model into App
Finalizing the app

Reviews

Tom
December 24, 2022
The worst product fro Udemy I have seen in several years of working with Udemy courses. The volume is so low you can't hear it. The presenter stumbles and pauses and is not clear and direct in what he says. He rambles and the gets off point. Most importantly, the projects presented in code are almost trivial. this is titled "Advanced Machine Learning." It is not advanced.
Kiel
January 1, 2021
Started off well but then an essential video was uploaded incorrectly and then later on he stopped explaining what and why he was doing something. Long moments of silence as he typed long strings of code. Sent him a message but got no answer very disappointed

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3459456
udemy ID
8/29/2020
course created date
9/1/2020
course indexed date
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