Practical Java machine learning : projects with Google Cloud platform and Amazon web services / Mark Wickham
نوع المادة : نصاللغة: الإنجليزية الناشر:New York, NY : Apress, 2018تاريخ حقوق النشر: ©2018وصف:xxiii, 392 pages : illustrations ; 31 cmنوع المحتوى:- text
- unmediated
- volume
- 9781484239506
- 1484239512
- 9781484239513
- Q325.5 .W535 2018
نوع المادة | المكتبة الحالية | رقم الطلب | رقم النسخة | حالة | تاريخ الإستحقاق | الباركود | |
---|---|---|---|---|---|---|---|
كتاب | UAE Federation Library | مكتبة اتحاد الإمارات General Collection | المجموعات العامة | Q325.5 .W535 2018 (إستعراض الرف(يفتح أدناه)) | C.1 | Library Use Only | داخل المكتبة فقط | 30020000209303 | ||
كتاب | UAE Federation Library | مكتبة اتحاد الإمارات General Collection | المجموعات العامة | Q325.5 .W535 2018 (إستعراض الرف(يفتح أدناه)) | C.2 | المتاح | 30020000209302 |
Browsing UAE Federation Library | مكتبة اتحاد الإمارات shelves, Shelving location: General Collection | المجموعات العامة إغلاق مستعرض الرف(يخفي مستعرض الرف)
Q325.5 .T464 2019 Deep learning for search / | Q325.5 .T464 2019 Deep learning for search / | Q325.5 .W535 2018 Practical Java machine learning : projects with Google Cloud platform and Amazon web services / | Q325.5 .W535 2018 Practical Java machine learning : projects with Google Cloud platform and Amazon web services / | Q325.5 .Z46 2019 Evolutionary learning : advances in theories and algorithms / | Q325.6 .B497 2019 Applied reinforcement learning with Python : with OpenAI Gym, Tensorflow and Keras / | Q325.6 .B497 2019 Applied reinforcement learning with Python : with OpenAI Gym, Tensorflow and Keras / |
Includes index
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. Practical Java Machine Learning 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. Practical Java Machine Learning 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