Machine Learning for Apps

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Machine Learning for Apps

Level: Intermediate
Modules: 43 Modules
Duration: 6 hours, 53 minutes
Students: 12

Overview

Uplift Your Career & Skill Up to Your Dream Job – Learning Simplified From Home!

Kickstart your career & boost your employability by helping you discover your skills, talents and interests with our special Machine Learning for Apps Course. You’ll create a pathway to your ideal job as this course is designed to uplift your career in the relevant industry. It provides professional training that employers are looking for in today’s workplaces.

The Machine Learning for Apps Course is one of the most prestigious training offered at StudyHub and is highly valued by employers for good reason. This Machine Learning for Apps Course has been designed by industry experts to provide our learners with the best learning experience possible to increase their understanding of their chosen field.

This Machine Learning for Apps Course, like every one of Study Hub’s courses, is meticulously developed and well researched. Every one of the topics is divided into elementary modules, allowing our students to grasp each lesson quickly.

At StudyHub, we don’t just offer courses; we also provide a valuable teaching process. When you buy a course from StudyHub, you get unlimited Lifetime access with 24/7 dedicated tutor support.

Why buy this Machine Learning for Apps?

Unlimited access to the course for forever
Digital Certificate, Transcript, student ID all included in the price
Absolutely no hidden fees
Directly receive CPD accredited qualifications after course completion
Receive one to one assistance on every weekday from professionals
Immediately receive the PDF certificate after passing
Receive the original copies of your certificate and transcript on the next working day
Easily learn the skills and knowledge from the comfort of your home

Certification

After studying the course materials of the Machine Learning for Apps there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60.

Who is this course for?

This Machine Learning for Apps course is ideal for

Students
Recent graduates
Job Seekers
Anyone interested in this topic
People already working in the relevant fields and want to polish their knowledge and skill.

Prerequisites

This Machine Learning for Apps does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Machine Learning for Apps was made by professionals and it is compatible with all PC’s, Mac’s, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection.

Career path

As this course comes with multiple courses included as bonus, you will be able to pursue multiple occupations. This Machine Learning for Apps is a great way for you to gain multiple skills from the comfort of your home.

Course Curriculum

Section 01: Intro to Course
	What is Machine Learning?	00:08:00
	Basics of Machine Learning	00:07:00
	Installing Anaconda / Python Environment	00:07:00
	Downloading / Setting Up Atom and Plugins	00:09:00
Section 02: Python Basics
	Variables in Python	00:08:00
	Functions, Conditionals, and Loops in Python	00:10:00
	Arrays and Tuples in Python	00:14:00
	Importing Modules in Python	00:05:00
Section 03: Building a Classification Model
	What is scikit-learn? Why use it?	00:04:00
	Installing scikit-learn and scipy with Anaconda	00:03:00
	Intro to the Iris Dataset	00:03:00
	Datasets: Features and Labels Explained	00:08:00
	Loading the Iris Dataset / Examining and Preparing Data	00:09:00
	Creating / Training a KNeighborsClassifier	00:10:00
	Testing Prediction Accuracy with Test Data	00:12:00
	Building Our Own KNeighborsClassifie	00:18:00
Section 04: Building a Convolutional Neural Network
	What is Keras? Why use it?	00:08:00
	What is a Convolutional Neural Network (CNN)?	00:27:00
	Installing Keras with Anaconda	00:05:00
	Preparing Dataset for a CNN	00:18:00
	Building / Visualizing a CNN using Sequential: Part 1	00:14:00
	Building / Visualizing a CNN using Sequential: Part 2	00:20:00
	Training CNN / Evaluating Accuracy / Saving to Disk	00:18:00
	Switching Python Environments / Converting to Core ML Model	00:14:00
Section 05: Building a Handwriting Recognition App
	Intro to App-Handwriting	00:03:00
	Building Interface / Wiring Up	00:12:00
	Drawing on Screen	00:21:00
	Importing Core ML Model / Reading Metadata	00:05:00
	Utilizing Core ML / Vision to Make Prediction	00:18:00
	Handling / Displaying Prediction Results	00:15:00
Section 06: Core ML Basics
	Intro to App -Core ML Photo Analysis	00:04:00
	What is Machine Learning?	00:08:00
	What is Core ML?	00:05:00
	Creating X code Project	00:03:00
	Building Image VC in Interface Builder / Wiring Up	00:08:00
	Creating Image Cell	00:08:00
	Creating Food Items Helper File	00:07:00
	Creating Custom 3×3 Grid UI Collection View Flow Layout	00:09:00
	Choosing, Downloading, Importing Core ML Model	00:05:00
	Passing Images through Core ML Model	00:12:00
	Handling Core ML Prediction Results	00:10:00
	Challenge: Core ML Photo Analysis	00:01:00
Assignment
	Assignment – Machine Learning for Apps	00:00:00