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

Advanced Machine Learning in iOS, Swift, Create ML, Core ML, available at $29.99, has an average rating of 2.94, with 36 lectures, based on 8 reviews, and has 56 subscribers.

You will learn about 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 This course is ideal for individuals who are You should take this course if you want to learn Machine Learning for iOS or You should take this course if you want to get started with Core ML or You should take this course if you want to get started with Create ML or This course is perfect for you if you want take your apps to the next level by integrating machine learning intelligence into them It is particularly useful for You should take this course if you want to learn Machine Learning for iOS or You should take this course if you want to get started with Core ML or You should take this course if you want to get started with Create ML or This course is perfect for you if you want take your apps to the next level by integrating machine learning intelligence into them.

Enroll now: Advanced Machine Learning in iOS, Swift, Create ML, Core ML

Summary

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

Price: $29.99

Average Rating: 2.94

Number of Lectures: 36

Number of Published Lectures: 36

Number of Curriculum Items: 36

Number of Published Curriculum Objects: 36

Original Price: $19.99

Quality Status: approved

Status: Live

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

Who Should Attend

You should take this course if you want to learn Machine Learning for iOS

You should take this course if you want to get started with Core ML

You should take this course if you want to get started with Create ML

This course is perfect for you if you want take your apps to the next level by integrating machine learning intelligence into them

Target Audiences

You should take this course if you want to learn Machine Learning for iOS

You should take this course if you want to get started with Core ML

You should take this course if you want to get started with Create ML

This course is perfect for you if you want take your apps to the next level by integrating machine learning intelligence into them

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.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: About us

Lecture 3: What will you get?

Chapter 2: Machine Learning

Lecture 1: What is machine learning?

Lecture 2: Why should I learn machine learning?

Lecture 3: Why use machine learning?

Lecture 4: Types of machine learning algorithms

Chapter 3: Core ML

Lecture 1: What is Core ML?

Lecture 2: What is new in Core ML 2

Chapter 4: Healthy Food or Not App

Lecture 1: App Demo

Lecture 2: UI Design

Lecture 3: Implementing Image Picker

Lecture 4: Making app intelligent with machine learning

Chapter 5: Prisma App

Lecture 1: App Demo

Lecture 2: UI Design

Lecture 3: Adding machine learning to the app

Lecture 4: Finalizing the app

Chapter 6: Download ML Model During Runtime

Lecture 1: App Demo

Lecture 2: UI Design

Lecture 3: Downloading model from internet

Lecture 4: Finishing the app

Chapter 7: Create ML

Lecture 1: What is Create ML?

Lecture 2: Training Dog vs Cat Image Classifier using Create ML

Lecture 3: Dog Cat Classification App

Chapter 8: Natural Language Processing in iOS

Lecture 1: Introduction to Natural Language Processing in iOS

Lecture 2: String Tokenization

Lecture 3: Dominant Language Detection

Lecture 4: Parts of Speech Recognizer

Lecture 5: Name Entity Detection

Lecture 6: Lemma in iOS

Lecture 7: Text Classification

Chapter 9: Fruit image classification using Create ML

Lecture 1: App Demo

Lecture 2: Playground setup to Train Machine Learning Model

Lecture 3: Build ML Model

Lecture 4: ML model into App

Lecture 5: Finalizing the app

Instructors

CGI GEN
Learn by Doing. Practical Approach to Solve Common Problems

Rating Distribution

1 stars: 1 votes

2 stars: 4 votes

3 stars: 1 votes

4 stars: 0 votes

5 stars: 2 votes

Frequently Asked Questions

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