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Working in a hands-on learning environment, led by our Machine Learning for Mobile expert instructor, students will learn about and explore: Build smart mobile applications for Android and iOS devices.Use popular machine learning toolkits such as Core ML and TensorFlow Lite.Explore cloud services for machine learning that can be used in mobile apps.
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Course Access
Unlimited Duration
Last Updated
January 12, 2021
Students Enrolled
1
Total Reviews
Posted by
Certification
Course Curriculum
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- Introduction to Machine Learning on Mobile 00:00:00
- Definition of machine learning 00:00:00
- The machine learning process 00:00:00
- Types of learning 00:00:00
- Why use machine learning on mobile devices? 00:00:00
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- Supervised and Unsupervised Learning Algorithms 00:00:00
- Introduction to supervised learning algorithms 00:00:00
- Deep dive into supervised learning algorithms 00:00:00
- Introduction to unsupervised learning algorithms 00:00:00
- Deep dive into unsupervised learning algorithms 00:00:00
- Random Forest on iOS 00:00:00
- Introduction to algorithms 00:00:00
- Solving the problem using random forest in Core ML 00:00:00
- Regression Using Core ML in iOS 00:00:00
- Introduction to regression 00:00:00
- Understanding the basics of Core ML 00:00:00
- Solving the problem using regression in Core ML 00:00:00
- Spam Message Detection 00:00:00
- Understanding NLP 00:00:00
- Understanding linear SVM algorithm 00:00:00
- Solving the problem using linear SVM in Core ML 00:00:00
- Neural Networks on Mobile 00:00:00
- Introduction to neural networks 00:00:00
- Image recognition solution 00:00:00
- Creating a TensorFlow image recognition model 00:00:00
- Handwritten digit recognition solution 00:00:00
- Introduction to Keras 00:00:00
- Installing Keras 00:00:00
- Solving the problem 00:00:00
- The Future of ML on Mobile Applications 00:00:00
- Key ML mobile applications 00:00:00
- Key innovation areas 00:00:00
- Opportunities for stakeholders 00:00:00
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