Practical Java Machine Learning von Wickham, Mark

Practical Java Machine Learning

Projects with Google Cloud Platform and Amazon Web Services

Build machine learning (ML) solutions for Java development. This book shows you that when designing ML apps, data is the key driver and must be considered throughout all phases of the project life cycle. helps you understand the importance of data and how to organize it for use within your ML project. You will be introduced to tools which can help you identify and manage your data including JSON, visualization, NoSQL databases, and cloud platforms including Google Cloud Platform and Amazon Web Services.
includes multiple projects, with particular focus on the Android mobile platform and features such as sensors, camera, and connectivity, each of which produce data that can power unique machine learning solutions. You will learn to build a variety of applications that demonstrate the capabilities of the Google Cloud Platform machine learning API, including data visualization for Java; document classification using the Weka ML environment; audio file classification for Android using ML with spectrogram voice data; and machine learning using device sensor data.After reading this book, you will come away with case study examples and projects that you can take away as templates for re-use and exploration for your own machine learning programming projects with Java.

Experienced Java developers who have not implemented machine learning techniques before.

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Bücher zum Thema
AI algorithms Android Artificial Intelligence Big Data Cloud Code Data Science Data Visualization Java Machine learning ML Mobile programming supervised learning unsupervised learning Visualization
Produktinformationen
    • ISBN-10
      1484239504
    • GTIN-13
      9781484239506
    • Untertitel
      Projects with Google Cloud Platform and Amazon Web Services
    • Erscheinungstermin
    • Sprache
      eng
    • Autoren Biografie
      Mark Wickham is an active developer and has been a developer for many years, mostly in Java.  He is passionate about exploring advances in artificial intelligence and machine learning using Java. New software approaches, applied to the ever expanding volume of data we now have available to us, enables us to create Java solutions which were not before conceivable. He is a frequent speaker at developer conferences. His popular classes cover practical topics such as connectivity, push messaging, and audio/video.  Mark has led software development teams for Motorola, delivering infrastructure solutions to global telecommunications customers. While at Motorola, Mark also led product management and product marketing teams in the Asia Pacific region. Mark has been involved in software and technology for more than 30 years and began to focus on the Android platform in 2009, creating private cloud and tablet based solutions for the enterprise. Mark majored in Computer Science and Physics at Creighton University, and later obtained an MBA from the University of Washington and the Hong Kong University of Science and Technology. Mark is also active as a freelance video producer, photographer, and enjoys recording live music.  Previously Mark wrote (Apress, 2018).
    • Genre-Code
      1633
    • Letzte Bearbeitung
      2018-07-26
    • Website des Verlages
    • Produktart
      BC
    • Schlüsselwörter
      AI, algorithms, Android, Artificial Intelligence, Big Data, Cloud, Code, Data Science, Data Visualization, Java, Machine learning, ML, Mobile, programming, supervised learning, unsupervised learning, Visualization
    • Verleger
      Apress
    • Genre

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Die Publikation Practical Java Machine Learning - Projects with Google Cloud Platform and Amazon Web Services von ist bei Apress erschienen. Die Publikation ist mit folgenden Schlagwörtern verschlagwortet: AI, algorithms, Android, Artificial Intelligence, Big Data, Cloud, Code, Data Science, Data Visualization, Java, Machine learning, ML, Mobile, programming, supervised learning, unsupervised learning, Visualization. Weitere Bücher, Themenseiten, Autoren und Verlage finden Sie hier: https://buchfindr.de/sitemap_index.xml . Auf Buch FindR finden Sie eine umfassendsten Bücher und Publikationlisten im Internet. Sie können die Bücher und Publikationen direkt bestellen. Ferner bieten wir ein umfassendes Verzeichnis aller Verlagsanschriften inkl. Email und Telefonnummer und Adressen. Die Publikation kostet in Deutschland 32.09 EUR und in Österreich 32.99 EUR Für Informationen zum Angebot von Buch FindR nehmen Sie gerne mit uns Kontakt auf!