Machine Learning for Apps Training Course

4k learners

Dive in and learn the fundamental concepts of machine learning and start developing applications that can think of! In this course, you are going to learn everything you need to know to start building brilliant apps and your Machine Learning models.

  • 1-year e-learning access

  • Course completion certificate

  • 100% money-back guarantee

Online Self Learning USD 149 (USD 199) Enroll Now
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Course Overview

Machine Learning is the ability of computers to record the behaviors of operations being conducted through them. After recording they are then able to give out the same output without manual instruction input. Machine learning for Apps means applying this concept to everyday apps as used on computers or mobiles. In this course, you will learn what and how machine learning is used. Also, learn how to apply machine learning using python.

Course Outline

What is Machine Learning?
Basics of Machine Learning
Installing Anaconda / Python Environment
Downloading / Setting Up Atom & Plugins
Variables in Python
Arrays & Tuples in Python
Functions, Conditionals, & Loops in Python
Importing Modules in Python
What is scikit-learn- Why use it
Installing scikit-learn & scipy with Anaconda
Intro to the Iris Dataset
Datasets- Features & Labels Explained
Loading the Iris Dataset - Examining & Preparing Data
Creating - Training a KNeighborsClassifier
Testing Prediction Accuracy with Test Data
Building Our Own KNeighbors Classifier
What is Keras- Why use it
What is a Convolutional Neural Network (CNN)
Installing Keras with Anaconda
Preparing Dataset for a CNN
Building - Visualizing a CNN using Sequential- Part 1
Building - Visualizing a CNN using Sequential- Part 2
Training CNN - Evaluating Accuracy - Saving to Disk
Switching Python Environments - Converting to Core ML Model
Intro to App – Handwriting
Building Interface - Wiring Up
Drawing On Screen
Importing Core ML Model - Reading Metadata
Utilizing Core ML - Vision to Make Prediction
Handling - Displaying Prediction Results
Intro to App – Core ML Photo Analysis
What is Machine Learning
What is Core ML
Creating Xcode Project
Building ImageVC in Interface Builder - Wiring Up
Creating ImageCell & Subclass - Wiring Up
Creating FoodItems Helper File
Creating Custom 3x3 Grid UICollectionViewFlowLayout
Choosing, Downloading, Importing Core ML Model
Passing Images Through Core ML Model
Handling Core ML Prediction Results
Challenge – Core ML Photo Analysis

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