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
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 free. Original Hard Copy certificates need to be ordered at an additional cost of £8.
Who is this course for?
This Machine Learning for Apps course is ideal for
- Recent graduates
- Job Seekers
- Anyone interested in this topic
- People already working in the relevant fields and want to polish their knowledge and skill.
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.
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.
|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 – Machine Learning for Apps||00:00:00|
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