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.
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