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Machine Learning for Apps

Learn the basics of how to use Python for machine learning and iOS app development with this free online course.

Publisher: Devslopes
This free online machine learning course covers foundational python for machine learning. You'll learn what machine learning (ML) is and how it is applied, study the five steps of ML integration, and look into the installation of Anaconda and Atom including their applications. You'll learn how to build an iOS app and create a classification model capable of making predictions using neural networks, and much more!
Machine Learning for Apps
  • Duration

    5-6 Hours
  • Students

    15,313
  • Accreditation

    CPD

Description

Modules

Outcome

Certification

View course modules

Description

This free course covers foundational Python, the language most predominantly used in machine learning (ML). The course will show you how to build a classification model from scratch to make predictions, using a world-famous data set to train the model. You'll create a neural network, capable of classifying human handwriting, and then use your neural network to build an iOS app, that can classify handwritten digits drawn on the screen.

The course also shows you how to use an ML model to classify photos in a custom-built app in module six. By the end of this course, you'll be able to apply the concepts and tools learned, to create your own machine learning models and apps for making suggestions and predictions.

Machine learning skills are in high demand worldwide as they can be used in many different ways: doctors can use it to diagnose diseases; it can be used to match people for relationships; it can be used to analyse costly manufacturing procedures. The number one reason for using machine learning in an app, may be that it personalises the app for the user. So start the course today and by the end of the week you'll have gained valuable skills in machine learning and real-world programming skills for using machine learning to build apps.

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