Harness the power of Apple iOS machine learning (ML) capabilities and
learn the concepts and techniques necessary to be a successful Apple iOS
machine learning practitioner!
Machine earning (ML) is the science of getting computers to act without
being explicitly programmed. A branch of Artificial Intelligence (AI),
machine learning techniques offer ways to identify trends, forecast
behavior, and make recommendations. The Apple iOS Software Development
Kit (SDK) allows developers to integrate ML services, such as speech
recognition and language translation, into mobile devices, most of which
can be used in multi-cloud settings. Focusing on Apple's ML services,
Machine Learning for iOS Developers is an up-to-date introduction to
the field, instructing readers to implement machine learning in iOS
applications.
Assuming no prior experience with machine learning, this reader-friendly
guide offers expert instruction and practical examples of ML integration
in iOS. Organized into two sections, the book's clearly-written chapters
first cover fundamental ML concepts, the different types of ML systems,
their practical uses, and the potential challenges of ML solutions. The
second section teaches readers to use models--both pre-trained and
user-built--with Apple's CoreML framework. Source code examples are
provided for readers to download and use in their own projects. This
book helps readers:
- Understand the theoretical concepts and practical applications of
machine learning used in predictive data analytics
- Build, deploy, and maintain ML systems for tasks such as model
validation, optimization, scalability, and real-time streaming
- Develop skills in data acquisition and modeling, classification, and
regression.
- Compare traditional vs. ML approaches, and machine learning on
handsets vs. machine learning as a service (MLaaS)
- Implement decision tree based models, an instance-based machine
learning system, and integrate Scikit-learn & Keras models with CoreML
Machine Learning for iOS Developers is a must-have resource software
engineers and mobile solutions architects wishing to learn ML concepts
and implement machine learning on iOS Apps.
