Machine Learning for Apps

Start building more intelligent apps with Machine Learning.
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Machine Learning for Apps.

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Course Outline

A comprehensive list of all sections & lectures for this course can be found below.

Intro to Course

What is Machine Learning? - 07:47 [Play]

Basics of Machine Learning - 06:34

Installing Anaconda / Python Environment - 07:26

Downloading / Setting Up Atom and Plugins - 09:02

Variables in Python - 08:24 [Play]

Functions, Conditionals, and Loops in Python - 09:50

Arrays and Tuples in Python - 13:52

Importing Modules in Python - 05:22

What is scikit-learn? Why use it? - 03:52 [Play]

Installing scikit-learn and scipy with Anaconda - 03:28

Intro to the Iris Dataset - 03:28

Datasets: Features and Labels Explained - 07:39

Loading the Iris Dataset / Examining and Preparing Data - 09:27

Creating / Training a KNeighborsClassifier - 09:43

Testing Prediction Accuracy with Test Data - 12:08

Building Our Own KNeighborsClassifier - 18:00

What is Keras? Why use it? - 08:02 [Play]

What is a Convolutional Neural Network (CNN)? - 26:30

Installing Keras with Anaconda - 04:38

Preparing Dataset for a CNN - 17:38

Building / Visualizing a CNN using Sequential: Part 1 - 14:07

Building / Visualizing a CNN using Sequential: Part 2 - 19:41

Training CNN / Evaluating Accuracy / Saving to Disk - 17:54

Switching Python Environments / Converting to Core ML Model - 13:39

Intro to App – Handwriting - 02:56 [Play]

Building Interface / Wiring Up - 11:43

Drawing On Screen - 21:01

Importing Core ML Model / Reading Metadata - 05:17

Utilizing Core ML / Vision to Make Prediction - 17:31

Handling / Displaying Prediction Results - 15:14

Intro to App – Core ML Photo Analysis - 04:26 [Play]

What is Machine Learning? - 07:47

What is Core ML? - 05:04

Creating Xcode Project - 02:43

Building ImageVC in Interface Builder / Wiring Up - 07:41

Creating ImageCell - 08:13

Creating FoodItems Helper File - 07:02

Creating Custom 3x3 Grid UICollectionViewFlowLayout - 09:12

Choosing, Downloading, Importing Core ML Model - 05:18

Passing Images Through Core ML Model - 12:19

Handling Core ML Prediction Results - 09:42

Challenge – Core ML Photo Analysis - 01:16

Course Description

Brought to you by Devslopes LLC

Welcome to the most comprehensive course on Core ML, one of Apples hot new features for iOS 11. The goal with 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.

Why Take this Course?

Core ML is the first step if you want to start building apps with AI. Machine Learning opens an entirely new world to opportunities that will take your apps to the next level.

  • Learn to code how the PROs code - not just copy and paste
  • Build Real Projects - You'll get to build projects that help you retain what you've learned
  • Build awesome apps that can make predictions
  • Build amazing apps that can classify human handwriting

Key Concepts

  • Learn about the foundation of Machine Learning and Core ML
  • Learn foundational python
  • Build a classification model allow your apps to make predictions
  • Build a neural network for your app that can classify human writing
  • Learn core ML concepts so you can build your own ML Model
  • Utilize the power of Machine Learning and AI for use in iOS apps
  • Learn how to pass in images to Apples pre trained model - MobileNet

Target Audience

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

Machine Learning for Apps

All course reviews are written by students who have completed the course or are currently enrolled.

Course Instructor - Youaccel

Teaching 93 Courses

youaccel is currently teaching 93 courses. All courses are currently open for enrollment.

574,171 Enrollments

youaccel currently has 574,171 global enrollments across 93 courses that are active on the platform.

4.5 Star Rating

youaccel has an average rating of 4.5/5 stars, across 93 courses.

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