Details for: Gopalakrishnan R. Machine Learning for Mobile 2018

Gopalakrishnan R. Machine Learning for Mobile 2018

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Other > E-books

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11.24 MiB (11787182 Bytes)

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2019-09-07

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andryold1  

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B518AF631FE2F61C4643CF27A08F4441476BAB7B

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Textbook in PDF format Leverage the power of machine learning on mobiles and build intelligent mobile applications with ease ! Key Features 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. Book Description Machine learning presents an entirely unique opportunity in software development. It allows smartphones to produce an enormous amount of useful data that can be mined, analyzed, and used to make predictions. This book will help you master machine learning for mobile devices with easy-to-follow, practical examples. You will begin with an introduction to machine learning on mobiles and grasp the fundamentals so you become well-acquainted with the subject. You will master supervised and unsupervised learning algorithms, and then learn how to build a machine learning model using mobile-based libraries such as Core ML, TensorFlow Lite, ML Kit, and Fritz on Android and iOS platforms. In doing so, you will also tackle some common and not-so-common machine learning problems with regard to Computer Vision and other real-world domains. By the end of this book, you will have explored machine learning in depth and implemented on-device machine learning with ease, thereby gaining a thorough understanding of how to run, create, and build real-time machine-learning applications on your mobile devices

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1. Gopalakrishnan R. Machine Learning for Mobile 2018.pdf11.24 MiB