Asset Details
Do you wish to reserve the book?
Practical Java machine learning : projects with Google Cloud Platform and Amazon Web Services
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Practical Java machine learning : projects with Google Cloud Platform and Amazon Web Services
Do you wish to request the book?
Practical Java machine learning : projects with Google Cloud Platform and Amazon Web Services
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Book
Practical Java machine learning : projects with Google Cloud Platform and Amazon Web Services
Available to read in the library!
Overview
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 organiza 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, audio, 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; classification and clustering using the Weka ML environment; deploying Java machine learning apps to Raspberry Pi devices; 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. You will: Identify, organize, and architect the data required for ML projects ; Deploy ML solutions in conjunction with cloud providers such as Google and Amazon ; Determine which algorithm is the most appropriate for a specific ML problem ; Implement Java ML solutions on Android mobile devices ; Create Java ML solutions to work with sensor data ; Deploy ML solutions for embedded Java devices.
Publisher
Apress,Distributed by Springer Science + Business Media New York
ISBN
1484239504, 9781484239506
Item info:
1
item available
1
item total in all locations
| Call Number | Copies | Material | Location |
|---|---|---|---|
| QA76.73.J38 W53 2018 | 1 | BOOK | AUTOSTORE |
