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Machine Learning for Apps
Beginner Level

Machine Learning for Apps

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  • 5-6 Avg Hours
  • CPD Accredited
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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.
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 int... 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!
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What You Will Learn In This Free Course

  • Explain what machine learning (ML) ...
  • Define the two most important chara...
  • Describe how data is used to train ...
  • Discuss the benefits of using Keras...
  • Explain what machine learning (ML) is and how it is applied
  • Define the two most important characteristics of data for machine learning
  • Describe how data is used to train and test the learning model
  • Discuss the benefits of using Keras rather than TensorFlow
  • Describe how convolutional neural networks classify images
  • Explain the role of max pooling layers, sequential and ReLU
  • Outline the function of dropout layers, nodes and softmax
  • Define how epochs measure accuracy and loss
  • Explain how to declare and work with basic Python variables
  • Discuss how to program basic arrays and tuples in Python
  • Indicate how to create an Xcode project and configure an input field, text label and button for an iOS app
  • Outline examples of how core machine learning can be used
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Learner Reviews & Feedback For Machine Learning for Apps

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Nadine Felecia Fabulouscat G. Alison Graduate
loved this course
I have learn to understand the use of vision framework with core ML to handle and convert images also how-to provide examples of how core machine learning can be used to create a new xcode project.
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