×
Dodano do koszyka:
Pozycja znajduje się w koszyku, zwiększono ilość tej pozycji:
Zakupiłeś już tę pozycję:
Książkę możesz pobrać z biblioteki w panelu użytkownika
Pozycja znajduje się w koszyku
Przejdź do koszyka

Zawartość koszyka

ODBIERZ TWÓJ BONUS :: »

Machine Learning for Mobile. Practical guide to building intelligent mobile applications powered by machine learning Revathi Gopalakrishnan, Avinash Venkateswarlu

(ebook) (audiobook) (audiobook) Książka w języku angielskim
Machine Learning for Mobile. Practical guide to building intelligent mobile applications powered by machine learning Revathi Gopalakrishnan, Avinash Venkateswarlu - okladka książki

Machine Learning for Mobile. Practical guide to building intelligent mobile applications powered by machine learning Revathi Gopalakrishnan, Avinash Venkateswarlu - okladka książki

Machine Learning for Mobile. Practical guide to building intelligent mobile applications powered by machine learning Revathi Gopalakrishnan, Avinash Venkateswarlu - audiobook MP3

Machine Learning for Mobile. Practical guide to building intelligent mobile applications powered by machine learning Revathi Gopalakrishnan, Avinash Venkateswarlu - audiobook CD

Autorzy:
Revathi Gopalakrishnan, Avinash Venkateswarlu
Ocena:
Bądź pierwszym, który oceni tę książkę
Stron:
274
Dostępne formaty:
     PDF
     ePub
     Mobi
Zostało Ci na świąteczne zamówienie opcje wysyłki »
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.

Wybrane bestsellery

O autorach książki

Revathi Gopalakrishnan is a software professional with more than 17 years of experience in the IT industry. She has worked extensively in mobile application development and has played various roles, including developer and architect, and has led various enterprise mobile enablement initiatives for large organizations. She has also worked on a host of consumer applications for various customers around the globe. She has an interest in emerging areas, and machine learning is one of them. Through this book, she has tried to bring out how machine learning can make mobile application development more interesting and super cool. Revathi resides in Chennai and enjoys her weekends with her husband and her two lovely daughters.
Avinash Venkateswarlu has more than 3 years' experience in IT and is currently exploring mobile machine learning. He has worked in enterprise mobile enablement projects and is interested in emerging technologies such as mobile machine learning and cryptocurrency. Venkateswarlu works in Chennai, but enjoys spending his weekends in his home town, Nellore. He likes to do farming or yoga when he is not in front of his laptop exploring emerging technologies.

Packt Publishing - inne książki

Zamknij

Przenieś na półkę

Proszę czekać...
ajax-loader

Zamknij

Wybierz metodę płatności

Ebook
107,10 zł
Dodaj do koszyka
Zamknij Pobierz aplikację mobilną Ebookpoint